Instructions to use yuchenlin/easy-instruct-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuchenlin/easy-instruct-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yuchenlin/easy-instruct-base") model = AutoModelForSeq2SeqLM.from_pretrained("yuchenlin/easy-instruct-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from yuchenlin/easy-instruct-base: direct link, hf CLI and curl.
- Browser
- Download file 1.98 GB
-
https://huggingface.co/yuchenlin/easy-instruct-base/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://yuchenlin/easy-instruct-base@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/yuchenlin/easy-instruct-base/resolve/refs%2Fpr%2F1/optimizer.pt
1.98 GB
- Xet hash:
- b27badcf730f2966f61f28f72b3195c05f5ebcd4d33278f6b9528f6b57c9da26
- Size of remote file:
- 1.98 GB
- SHA256:
- 24c574a11a4c3dc7f52dbd2b56edd38a8054b948cf29a4982f71858701a9cd2a
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