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l3cube-pune
/
me-sent-roberta

Text Classification
Transformers
PyTorch
Safetensors
Marathi
English
multilingual
roberta
codemix
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use l3cube-pune/me-sent-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use l3cube-pune/me-sent-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="l3cube-pune/me-sent-roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/me-sent-roberta")
    model = AutoModelForSequenceClassification.from_pretrained("l3cube-pune/me-sent-roberta")
  • Notebooks
  • Google Colab
  • Kaggle
me-sent-roberta
2.26 GB
Ctrl+K
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  • 2 contributors
History: 5 commits
l3cube-pune's picture
l3cube-pune
Create README.md
9fc21f7 almost 3 years ago
  • .gitattributes
    1.58 kB
    Update model files almost 3 years ago
  • README.md
    1.65 kB
    Create README.md almost 3 years ago
  • config.json
    959 Bytes
    Update config.json almost 3 years ago
  • model.safetensors
    1.11 GB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    1.11 GB
    xet
    Update model files almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    Update model files almost 3 years ago
  • tokenizer.json
    17.1 MB
    xet
    Update model files almost 3 years ago
  • tokenizer_config.json
    634 Bytes
    Update model files almost 3 years ago
  • unigram.json
    14.8 MB
    xet
    Update model files almost 3 years ago