Package index
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hf_set_token() - Set Hugging Face API Token
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hf_whoami() - Get Current Hugging Face User Information
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hf_classify() - Text Classification
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hf_classify_zero_shot() - Zero-Shot Classification
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hf_embed() - Generate Text Embeddings
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hf_similarity() - Compute Pairwise Similarity
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hf_embed_umap() - Dimensionality Reduction with UMAP
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hf_embed_text() - Embed Text with Tidytext Compatibility
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hf_nearest_neighbors() - Find Nearest Neighbors by Semantic Similarity
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hf_cluster_texts() - Cluster Texts by Semantic Similarity
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hf_extract_topics() - Extract Semantic Topics from Text
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hf_chat() - LLM Chat Interface
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hf_conversation() - Multi-turn Conversation
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chat() - Continue a Conversation
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hf_generate() - Text Generation
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hf_fill_mask() - Fill Mask
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hf_search_models() - Search Models on Hugging Face Hub
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hf_model_info() - Get Model Information
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hf_list_tasks() - List Available Tasks
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hf_search_datasets() - Search Datasets on Hugging Face Hub
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hf_dataset_info() - Get Dataset Information
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hf_load_dataset() - Load Dataset via Hugging Face Datasets Server API
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step_hf_embed()tidy(<step_hf_embed>)tunable(<step_hf_embed>) - Embedding Recipe Step
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hf_ez_conversational() - Create a Conversational Agent
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hf_ez_conversational_api_inference() - Conversational API Inference
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hf_ez_conversational_local_inference() - Conversational Local Inference
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hf_ez_fill_mask() - Perform Fill-in-the-Blank Tasks
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hf_ez_fill_mask_api_inference() - Fill Mask API Inference
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hf_ez_fill_mask_local_inference() - Fill Mask Local Inference
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hf_ez_question_answering() - Answer Questions about a Text based on Context
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hf_ez_question_answering_api_inference() - Question Answering API Inference
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hf_ez_question_answering_local_inference() - Question Answering Local Inference
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hf_ez_sentence_similarity() - Compare Sentence Similarity Semantically
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hf_ez_sentence_similarity_api_inference() - Sentence Similarity API Inference
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hf_ez_sentence_similarity_local_inference() - Sentence Similarity Local Inference
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hf_ez_summarization() - Summarize a Text
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hf_ez_summarization_api_inference() - Summarization API Inference
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hf_ez_summarization_local_inference() - Summarization Local Inference
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hf_ez_table_question_answering() - Answer Questions about a Data Table
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hf_ez_table_question_answering_api_inference() - Table Question Answering API Inference
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hf_ez_table_question_answering_local_inference() - Table Question Answering Local Inference
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hf_ez_text2text_generation() - Answer General Questions
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hf_ez_text2text_generation_api_inference() - Text2Text Generation API Inference
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hf_ez_text2text_generation_local_inference() - Text2Text Generation Local Inference
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hf_ez_text_classification() - Classify Texts into Pre-trained Categories
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hf_ez_text_classification_api_inference() - Text Classification API Inference
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hf_ez_text_classification_local_inference() - Text Classification Local Inference
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hf_ez_text_generation() - Generate Text from a Prompt
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hf_ez_text_generation_api_inference() - Text Generation API Inference
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hf_ez_text_generation_local_inference() - Text Generation Local Inference
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hf_ez_token_classification() - Classify parts of a Text
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hf_ez_token_classification_api_inference() - Token Classification API Inference
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hf_ez_token_classification_local_inference() - Token Classification Local Inference
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hf_ez_translation() - Translate between Languages
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hf_ez_translation_api_inference() - Translation API Inference
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hf_ez_translation_local_inference() - Translation Local Inference
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hf_ez_zero_shot_classification() - Perform Text Classification with No Context Required
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hf_ez_zero_shot_classification_api_inference() - Zero Shot Classification API Inference
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hf_ez_zero_shot_classification_local_inference() - Zero Shot Classification Local Inference
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hf_load_tokenizer() - Load an AutoTokenizer from a pre-tained model
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hf_load_model() - Load a pre-trained AutoModel object from Hugging Face
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hf_load_AutoModel_for_task() - Import a pre-trained AutoModel object for a specific task.
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hf_load_pipeline() - Load a pipeline object from Hugging Face - pipelines usually include a model, tokenizer and task.
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hf_load_sentence_model() - Load a Sentence Transformers model to extract sentence/document embeddings
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hf_list_authors() - List Authors
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hf_list_datasets() - List Datasets
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hf_list_languages() - List Languages
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hf_list_libraries() - List Libraries
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hf_list_licenses() - List Licenses
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hf_list_models() - List Models
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hf_inference() - Inference using a downloaded Hugging Face model or pipeline, or using the Inference API
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hf_sentence_encode() - Use a Sentence Transformers pipeline to extract document(s)/sentence(s) embedding(s)
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hf_set_device() - Try to set device to GPU for accelerated computation
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hf_python_depends() - Install Python Dependencies
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hf_fill_mask_payload() - Fill Mask Task Payload
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hf_question_answering_payload() - Question Answering Payload
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hf_sentence_similarity_payload() - Sentence Similarity Payload
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hf_summarization_payload() - Summarization Task Payload
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hf_table_question_answering_payload() - Table Question Answering Payload
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hf_text2text_generation_payload() - Text2Text Generation Payload
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hf_text_classification_payload() - Text Classification Payload
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hf_text_generation_payload() - Text Generation Payload
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hf_token_classification_payload() - Token Classification Payload
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hf_translation_payload() - Translation Payload
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hf_zero_shot_classification_payload() - Zero Shot Classification Payload
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models_with_downloads - Dataset of model names, tasks & download info
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`%>%` - Pipe operator