Instructions to use hazyresearch/JRT-1B-50B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hazyresearch/JRT-1B-50B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hazyresearch/JRT-1B-50B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hazyresearch/JRT-1B-50B: direct link, hf CLI and curl.
- Browser
- Download file 5.5 GB
-
https://huggingface.co/hazyresearch/JRT-1B-50B/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hazyresearch/JRT-1B-50B/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hazyresearch/JRT-1B-50B/resolve/main/pytorch_model.bin
5.5 GB
- Xet hash:
- 6ddb99380b80e323bb463bffaac5d7886b994b806d33e1701cc078d9b61fa1ac
- Size of remote file:
- 5.5 GB
- SHA256:
- dc3148a33b5afddc31347b448e38af6d160d5277425c78f2cf96e0d2b4435131
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