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:
- 0dffca0ec5fbefdc3828bd0394759106d2fddb7ed88c596d2a8d97bf2d22ce7d
- Size of remote file:
- 2.52 GB
- SHA256:
- dcfd4b8c73bb03371b3e2adb4fb7aa8612e8f57a42f7d49b6069b9c1fa3cf2a9
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