| {"keywords": ["trocrprocessor", "visionencoderdecodermodel", "handwritten", "trocr", "pil", "code", "decode", "transformer", "generated", "sequencetagger", "qa_pipeline", "automodelfordocumentquestionanswering", "automodelforquestionanswering", "question", "questions", "context", "transformers", "nlp", "pipeline", "qa_input", "chatbot", "autotokenizer", "transformers", "blenderbot", "tokenizer", "generated_text", "automodelforcausallm", "dialogpt", "ai", "dialog", "classification", "classifier", "classify", "transformers", "pipeline", "model", "automodelforsequenceclassification", "analysis", "category", "candidate_labels", "captioning", "pix2structforconditionalgeneration", "transformers", "caption", "blipprocessor", "captions", "model", "descriptions", "vqa", "pil", "t5tokenizer", "summarizer", "summarization", "t5model", "t5forconditionalgeneration", "tokenizer", "t5", "summarized", "summarizing", "transformers", "sentence_transformers", "sentencetransformer", "cosine_similarity", "similarity", "sentences", "sentence", "similar", "similarities", "sklearn", "transformers", "translation_pipeline", "translated_text", "translator", "translated", "translation_text", "translation", "translating", "english_text", "english", "translate", "tapextokenizer", "table_qa", "tapasforquestionanswering", "tokenizer", "dataset", "pandas", "autotokenizer", "bartforconditionalgeneration", "tables", "queries", "masked_sentence", "fillmaskpipeline", "filled_sentence", "unmasker", "masked", "transformers", "tokenizer", "input_sentence", "pipeline", "predicted_word", "tokenizer", "ner_pipeline", "nlp", "ner", "berttokenizerfast", "autotokenizer", "ner_results", "automodelfortokenclassification", "tokenize", "entities"], "topics": ["Text extraction from images using TrOCR", "Question Answering Pipeline for Document Analysis", "Developing a chatbot using AutoModelForCausalLM and AutoTokenizer", "Sentiment analysis for movie reviews", "Image description generation using pretrained models", "Automatic Text Summarization Tool", "Semantic Search Using Sentence Transformers", "Translation of English text to French using Hugging Face", "Extracting information from tables using TAPEX models", "Language model for filling in missing words in sentences", "Extracting named entities from texts using BERT"]} |