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:
- 7b11a0a8c0a7e3ae54ba0138a974a03a85f8ce5de870113f24cc20a575dee6e6
- Size of remote file:
- 2.52 GB
- SHA256:
- 1cc911de3edba20a426dbb1b36cbdd16b6de8b7bd2fd161497c4167149e85168
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