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 training_args.bin from abanoub1412/finetuning: direct link, hf CLI and curl.
- Browser
- Download file 2.16 kB
-
https://huggingface.co/abanoub1412/finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://abanoub1412/finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abanoub1412/finetuning/resolve/main/training_args.bin
2.16 kB
- Xet hash:
- c93b9dfb2fb2510f8ed38c883ad706de9dc2a2849cfb4abc856d5ca11021b2b7
- Size of remote file:
- 2.16 kB
- SHA256:
- 2da33d0c4a9f1e365cff96d04c3021141f2be4ce0e3de4ac3a983aa995718295
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