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ssharoff
/
genres

Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
TextClassificationPipeline
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ssharoff/genres with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ssharoff/genres with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ssharoff/genres")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ssharoff/genres")
    model = AutoModelForSequenceClassification.from_pretrained("ssharoff/genres")
  • Notebooks
  • Google Colab
  • Kaggle
genres
2.24 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 19 commits
ssharoff's picture
ssharoff
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
dc9cb7e about 3 years ago
  • .gitattributes
    1.49 kB
    Upload tokenizer over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 3 years ago
  • README.md
    6.4 kB
    Update README over 3 years ago
  • config.json
    1.14 kB
    Upload XLMRobertaForSequenceClassification over 3 years ago
  • model.safetensors
    1.11 GB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    1.11 GB
    xet
    Upload XLMRobertaForSequenceClassification over 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    499 Bytes
    Upload tokenizer over 3 years ago
  • training_args.bin
    3.38 kB
    xet
    Training in progress, epoch 1 over 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer over 3 years ago