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emo-nlp
/
7-emo

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use emo-nlp/7-emo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emo-nlp/7-emo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="emo-nlp/7-emo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("emo-nlp/7-emo")
    model = AutoModelForSequenceClassification.from_pretrained("emo-nlp/7-emo", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
7-emo
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AntoineBlanot's picture
AntoineBlanot
Best checkpoint (step 4176)
bf395d2 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    9.86 kB
    Upload 13 files almost 3 years ago
  • all_results.json
    1.47 kB
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  • config.json
    1.03 kB
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  • eval_results.json
    1.29 kB
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  • merges.txt
    456 kB
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  • pytorch_model.bin
    499 MB
    xet
    Best checkpoint (step 4176) almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload 13 files almost 3 years ago
  • tokenizer.json
    2.11 MB
    Upload 13 files almost 3 years ago
  • tokenizer_config.json
    351 Bytes
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  • train_results.json
    196 Bytes
    Upload 13 files almost 3 years ago
  • trainer_state.json
    35.5 kB
    Best checkpoint (step 4176) almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    Upload 13 files almost 3 years ago
  • vocab.json
    798 kB
    Upload 13 files almost 3 years ago