Instructions to use Roy029/codefix_e20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/codefix_e20 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/codefix_e20") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/codefix_e20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Roy029/codefix_e20: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Roy029/codefix_e20/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Roy029/codefix_e20@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Roy029/codefix_e20/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.2 GB
- Xet hash:
- 823df24cd1591e362e55252fda9a7fe39c361080a967a7e5cf7072398706615f
- Size of remote file:
- 1.2 GB
- SHA256:
- db406cfa1f985dff9edba708878f415f17e65878cafda350a04ada9f9fd36d15
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