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:
- 8c398d225ed36d69167c4ffbf3c938be5be41bf86912372d6cd53d55e3fc79ae
- Size of remote file:
- 2.52 GB
- SHA256:
- ed04384094f92b19b438d18876656669c8d198c7722a5be6a19873ee58664dd0
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