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:
- 390c071a0d12b1e803473e26d0300aaa558c8925e0af10fbff119eaab398b284
- Size of remote file:
- 2.52 GB
- SHA256:
- 5393046f3341de933fd96889e3a30501c036e236a26afcff689ba50491c790c3
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