Instructions to use theojolliffe/model-3-feedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theojolliffe/model-3-feedback with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("theojolliffe/model-3-feedback") model = AutoModelForSeq2SeqLM.from_pretrained("theojolliffe/model-3-feedback", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from theojolliffe/model-3-feedback: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/theojolliffe/model-3-feedback/resolve/main/training_args.bin
- Command line
-
hf download hf://theojolliffe/model-3-feedback/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/theojolliffe/model-3-feedback/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 2a76e6bbd175d61a52f79070f26811e1766111bf6c6f191891ac632745e5bb2a
- Size of remote file:
- 3.44 kB
- SHA256:
- 0a4afeeacd068d3a7ba2b67db79227a702f14c47a4d204d4130b2e3d0b7e8818
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