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:
- 2a53485366d8dd6b2926c40eb3a10994c4e88dd6ee4a82c043cada1b430e4f90
- Size of remote file:
- 2.52 GB
- SHA256:
- 29b8eabff5fdbe64fa3957bc4cbff95f8ed5fdec112e196833a9b230606fd5c3
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