Instructions to use King-8/confidence-feedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use King-8/confidence-feedback with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("King-8/confidence-feedback") model = AutoModelForSeq2SeqLM.from_pretrained("King-8/confidence-feedback", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from King-8/confidence-feedback: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/King-8/confidence-feedback/resolve/main/training_args.bin
- Command line
-
hf download hf://King-8/confidence-feedback/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/King-8/confidence-feedback/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 1a0b05c44d9b4f396ce316fd76bb8216175c49e89377abcec1e34375211d45e6
- Size of remote file:
- 5.24 kB
- SHA256:
- ad098518b7f1b3e741ec9f0b09d626acc6791aeeb36bb31cbab885f6ffff9f7b
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