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 training_args.bin from Shaier/longformer_cosmos: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/Shaier/longformer_cosmos/resolve/main/training_args.bin
- Command line
-
hf download hf://Shaier/longformer_cosmos/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Shaier/longformer_cosmos/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- 3cacbe9d1eec0f56e6ea2767f7d806cc663e558592643dd47eddd4af2bb5c145
- Size of remote file:
- 3.31 kB
- SHA256:
- 5c2e49c5b503d3bd9329b09f1b1250e9c15207eebf60277b010507bf6b1fc97b
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