Summarization
Transformers
PyTorch
Safetensors
multilingual
miscovery
transformer
translation
question-answering
english
arabic
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
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (44f17a7aa245e5e9e266761926927e8bd92f59e2)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c4cd709b1c3d1d5e8b2a7db275c12a312498b5872393a342e3a46ac8363ba8c
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size 610135936
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