Instructions to use Yusra/quantize_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yusra/quantize_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Yusra/quantize_model") model = AutoModelForSeq2SeqLM.from_pretrained("Yusra/quantize_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Yusra/quantize_model: direct link, hf CLI and curl.
- Browser
- Download file 531 MB
-
https://huggingface.co/Yusra/quantize_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yusra/quantize_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yusra/quantize_model/resolve/main/pytorch_model.bin
531 MB
- Xet hash:
- dd3962390ce236c6fc1612109d6fa497fd8dcf55eab2979dd0235f0b3f497308
- Size of remote file:
- 531 MB
- SHA256:
- b27dbf5a502948a651206e721593a128b408c72ae81b4f703eeebe5ea8e4e628
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