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ScriptEdgeAI
/
MarathiSentiment-Bloom-560m

Text Classification
Transformers
PyTorch
Marathi
bloom
Sentiment-Analysis
Model card Files Files and versions
xet
Community
1

Instructions to use ScriptEdgeAI/MarathiSentiment-Bloom-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ScriptEdgeAI/MarathiSentiment-Bloom-560m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ScriptEdgeAI/MarathiSentiment-Bloom-560m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ScriptEdgeAI/MarathiSentiment-Bloom-560m")
    model = AutoModelForSequenceClassification.from_pretrained("ScriptEdgeAI/MarathiSentiment-Bloom-560m")
  • Notebooks
  • Google Colab
  • Kaggle
MarathiSentiment-Bloom-560m
4.49 GB
Ctrl+K
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  • 2 contributors
History: 39 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
033ebac almost 3 years ago
  • .gitattributes
    1.49 kB
    Adding `safetensors` variant of this model almost 3 years ago
  • README.md
    1.39 kB
    Update README.md over 3 years ago
  • config.json
    1.03 kB
    Update config.json over 3 years ago
  • model.safetensors
    2.24 GB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.24 GB
    xet
    Upload BloomForSequenceClassification over 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    14.5 MB
    xet
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    268 Bytes
    Upload tokenizer over 3 years ago