Instructions to use BlackSamorez/HuYaLM-100B-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlackSamorez/HuYaLM-100B-fp16 with Transformers:
# Load model directly from transformers import YalmCausalLM model = YalmCausalLM.from_pretrained("BlackSamorez/HuYaLM-100B-fp16", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7299dd34df043964421354708f186ea7b27fc8921a5aab5fe3ac8b5e3e460c50
- Size of remote file:
- 2.52 GB
- SHA256:
- 4e926c16560a9b3f289033f5ed75ee0cf6a5965dd0e22df8c7cfac6d0bfc9581
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