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:
- 768fb424b7ae5db2ef08e73cf40ed32ce9849ff4d7c59430601f8e06e54ffbfc
- Size of remote file:
- 2.52 GB
- SHA256:
- 23686fb662cb8cb8e1cf7ab89824452e8212ff12726d4a1aaa197bb1842c1e74
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