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:
- c608dc76d062577df665e0f5efb2231956e8a5f9a16aa69837a7d77f755c898b
- Size of remote file:
- 2.52 GB
- SHA256:
- aceedc4b78df4315edbbdb5eddaf91c9ff1a8976f854b35c299cd8cce49f04d2
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