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Fine-tuned version of BERT : a Transformer Bidirectional Encoder based Architecture trained on MLM (Mask Language Modeling) Hugging Face codehttps://huggingface.co/nickwong64/bert-base-uncased-poems-sentiment nickwong64/bert-base-uncased-poems-sentiment · Hugging Facenickwong64/bert-base-uncased-poems-sentiment Bert is a Transformer Bidirectional Encoder based Architecture trained on MLM(Mask Language Modeling) objective. bert-base-uncased finetuned on the poem_sentiment dataset using HuggingFace Trainer with below t..
poem_sentiment : a sentiment dataset of poem verses from Project Gutenberg https://huggingface.co/datasets/poem_sentiment poem_sentiment · Datasets at Hugging Facewhen i peruse the conquered fame of heroes, and the victories of mighty generals, i do not envy the generals,huggingface.co
t5-small : an encoder-decoder model to use summarization, translation, Q&A, text classification. t5-small https://huggingface.co/google-t5/t5-small google-t5/t5-small · Hugging FaceModel Card for T5 Small Table of Contents Model Details Uses Bias, Risks, and Limitations Training Details Evaluation Environmental Impact Citation Model Card Authors How To Get Started With the Model Model Details Model Description The developers of the Thuggingface.co1. model details2. uses3. biases, risks and ..
xsum - provides a set of BBC articles and summaries https://huggingface.co/datasets/EdinburghNLP/xsum EdinburghNLP/xsum · Datasets at Hugging FaceSimone Favaro got the crucial try with the last move of the game, following earlier touchdowns by Chris Fusaro, Zander Fagerson and Junior Bulumakau. Rynard Landman and Ashton Hewitt got a try in either half for the Dragons. Glasgow showed far superior strhuggingface.co Extreme Summarization (XSum) data..
NLP - Task08 - Text Generation https://huggingface.co/tasks/text-generation What is Text Generation? - Hugging Face🏆 HuggingFaceH4/open_llm_leaderboardhuggingface.co
NLP - Task07 - Text Classification https://huggingface.co/tasks/text-classification
NLP - Task06 - Table Question Answering https://huggingface.co/tasks/table-question-answering What is Table Question Answering? - Hugging FaceModels for Table Question Answering Browse Models (88)huggingface.co
NLP - Task05 - Summarization https://huggingface.co/tasks/summarization Summarization can take two forms : - Extractive : selecting representative excerpts from the text- Abstractive : Generating novel text summaries