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:
- abebaadef09e288e3386f820810d8cd12beb38c0084b6493786479e3c39b9bd9
- Size of remote file:
- 2.52 GB
- SHA256:
- a7287a3644ce792f8e31bbbf108870660ce46dafc9239a6d7efb0007335489ed
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