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:
- c2ee111f71ab1a701a76d2a75bd008a5b6c27e5650c067cc36897651bf60fe31
- Size of remote file:
- 2.52 GB
- SHA256:
- 7cc44de3a43d492f361fc117b6f79e0aba5a6453a35ea2eaac91198ad1e47d3d
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