标签：HF自然语言处理

Emotion English DistilRoBERTa-base Description ℹ With this model, you can classify emotions in English text data. The model was trained on 6 ...

BERT base model (uncased) Pretrained model on English language using a masked language modeling (MLM) objective. This model is uncased: it does no...

DistilBERT base uncased finetuned SST-2 Table of Contents Model Details How to Get Started With the Model Uses Risks, Limitations an...

DeBERTa: Decoding-enhanced BERT with Disentangled Attention DeBERTa improves the BERT and RoBERTa models using disentangled attention and enhanced...

bert-base-multilingual-uncased-sentiment This a bert-base-multilingual-uncased model finetuned for sentiment analysis on product reviews in six la...

Model description This model is a fine-tuned version of the DistilBERT model to classify toxic comments. How to use You can use the model w...

Cross-Encoder for MS Marco This model was trained on the MS Marco Passage Ranking task. The model can be used for Information Retrieval: Given a ...

Fine-tuned DistilRoBERTa-base for NSFW Classification Model Description DistilBERT is a transformer model that performs sentiment analysis. I...

xlm-roberta-base-language-detection This model is a fine-tuned version of xlm-roberta-base on the Language Identification dataset. Model descript...

Twitter-roBERTa-base for Emotion Recognition This is a roBERTa-base model trained on ~58M tweets and finetuned for emotion recognition with the T...