Instructions to use kumarprashant556/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumarprashant556/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kumarprashant556/checkpoints") model = AutoModelForSeq2SeqLM.from_pretrained("kumarprashant556/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kumarprashant556/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/kumarprashant556/checkpoints/resolve/e5265a0c324ebb021a67ce3438e151525c193328/pytorch_model.bin
- Command line
-
hf download hf://kumarprashant556/checkpoints@e5265a0c324ebb021a67ce3438e151525c193328/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kumarprashant556/checkpoints/resolve/e5265a0c324ebb021a67ce3438e151525c193328/pytorch_model.bin
299 MB
- Xet hash:
- 54952e75661bb0e8ba5ca87db2864a9e05e07c64f29b1cf6d707c2fdbf91a092
- Size of remote file:
- 299 MB
- SHA256:
- e1c885c56c1f40bd8d53d4be1b87f3d22383cd43cf937c2bbc7810f40467213d
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