Instructions to use student-shriman/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use student-shriman/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("student-shriman/checkpoints") model = AutoModelForSeq2SeqLM.from_pretrained("student-shriman/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from student-shriman/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/student-shriman/checkpoints/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://student-shriman/checkpoints/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/student-shriman/checkpoints/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 9e442d71a31392a8c6e16d2be6d9dd7245ed44e8a1618f654afb8ca043dad3e3
- Size of remote file:
- 242 MB
- SHA256:
- 530435ea7eaa699ed75c2c15578e34dc8fa76950e0e453734a572e34b554aef3
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