Instructions to use li-jay-cs/test-rlhf-rm-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use li-jay-cs/test-rlhf-rm-checkpoint with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("li-jay-cs/test-rlhf-rm-checkpoint") model = AutoModel.from_pretrained("li-jay-cs/test-rlhf-rm-checkpoint") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e277c4a2abb11a7adbc9ec32e13b00a721ee39bdfeb5fad9946f3dadb1c38cbc
- Size of remote file:
- 575 MB
- SHA256:
- 4ad424df473ec046a20eaa1a149c2deb19a3bbab313cf7bdb0362138c82341cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.