Instructions to use cosmicshubham/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cosmicshubham/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cosmicshubham/checkpoints") model = AutoModelForSeq2SeqLM.from_pretrained("cosmicshubham/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cosmicshubham/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/cosmicshubham/checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://cosmicshubham/checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cosmicshubham/checkpoints/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 83fe70c63e64ec9929fca1528db5b96b7e629fd8b051e05511cf58f12ac4eb03
- Size of remote file:
- 5.97 kB
- SHA256:
- 1ee9d5fd70d4c09cc006bec3986c3f78618f13444d0c052e31233c181d7331f9
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