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miscovery
/
model

Summarization
Transformers
PyTorch
Safetensors
multilingual
miscovery
transformer
translation
question-answering
english
arabic
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use miscovery/model with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="miscovery/model")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("miscovery/model", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
model
1.22 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
44f17a7 10 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.2 kB
    Update README.md about 1 year ago
  • __init__.py
    223 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • config.json
    422 Bytes
    Updated Model 10 months ago
  • generation_config.json
    132 Bytes
    Updated Model 10 months ago
  • model.safetensors
    610 MB
    xet
    Adding `safetensors` variant of this model 10 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    610 MB
    xet
    Updated Model 10 months ago
  • special_tokens_map.json
    1.07 kB
    Updated Model 10 months ago
  • tokenizer.json
    2.39 MB
    Updated Model 10 months ago
  • tokenizer_config.json
    4.48 kB
    Updated Model 10 months ago