Instructions to use abanoub1412/finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abanoub1412/finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abanoub1412/finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("abanoub1412/finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from abanoub1412/finetuning: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/abanoub1412/finetuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://abanoub1412/finetuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/abanoub1412/finetuning/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 318414e49827b85f612d64d792f89f50988ce1718bc76c7bfda2c4a0e43e5d63
- Size of remote file:
- 558 MB
- SHA256:
- 442db83741edb6881c9e44e6eb871a62a7a53a5ba4f7ad736ddd10226b7c81ad
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