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:
- 00b0a3790551f3495988cfbaafd48c9e09162d39239dfe5faa39983327916853
- Size of remote file:
- 2.52 GB
- SHA256:
- d8e503db08a5a0dd059cff837e4cba55ebef438c31ebe5fba525e8b87e911f50
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