Instructions to use Shaier/longformer_cosmos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaier/longformer_cosmos with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Shaier/longformer_cosmos") model = AutoModelForMultipleChoice.from_pretrained("Shaier/longformer_cosmos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Shaier/longformer_cosmos: direct link, hf CLI and curl.
- Browser
- Download file 595 MB
-
https://huggingface.co/Shaier/longformer_cosmos/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Shaier/longformer_cosmos/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Shaier/longformer_cosmos/resolve/main/pytorch_model.bin
595 MB
- Xet hash:
- aec15d6c0ff6078d947d6dda2c5e4a2c58758164ed27d73dd72eed5e8160ec02
- Size of remote file:
- 595 MB
- SHA256:
- 362a9a07d075773dcee60e45059f29e9d4410ca5997aad0fc9a8d3c1984b2c18
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