Instructions to use calmlab/gpt_small_rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calmlab/gpt_small_rm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("calmlab/gpt_small_rm") model = AutoModel.from_pretrained("calmlab/gpt_small_rm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from calmlab/gpt_small_rm: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/calmlab/gpt_small_rm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://calmlab/gpt_small_rm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/calmlab/gpt_small_rm/resolve/main/pytorch_model.bin
498 MB
- Xet hash:
- 17febc60308b54a91e0ca801ad6a7bf9399a6c39e213683b5584dcefa14ae6b3
- Size of remote file:
- 498 MB
- SHA256:
- bcb50e3c4409cf4ca4d788167658df0f1f259214fd73c3576acec53ae6d16eed
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