Instructions to use calmlab/gpt_large_RM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calmlab/gpt_large_RM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("calmlab/gpt_large_RM") model = AutoModel.from_pretrained("calmlab/gpt_large_RM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from calmlab/gpt_large_RM: direct link, hf CLI and curl.
- Browser
- Download file 3.1 GB
-
https://huggingface.co/calmlab/gpt_large_RM/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://calmlab/gpt_large_RM/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/calmlab/gpt_large_RM/resolve/main/pytorch_model.bin
3.1 GB
- Xet hash:
- 1b352eaad61d60690e44cf7608c1e79439770e5dcb467ed899f8d55ff1253935
- Size of remote file:
- 3.1 GB
- SHA256:
- 6e12e8f1efedd3389f5096b26ecb1be1b74142e25791962a09c696639a6e63ad
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