Instructions to use sheoran95/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheoran95/my_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/my_model") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sheoran95/my_model: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/sheoran95/my_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sheoran95/my_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sheoran95/my_model/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 16dead88a986c1ec12d3e8602f22d58f920b95d948ad6b443c5c7bb282c78cf3
- Size of remote file:
- 2.95 GB
- SHA256:
- e03d92b495880b29acf2dd0169c643fa8d587d387644233cf69c35317c3f6728
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