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:
- f67108a03796ec517f379bb93deb61a0baa83636c634da1d2441d753ff4fcf18
- Size of remote file:
- 2.52 GB
- SHA256:
- 1a4635497361f2aa95809f8cc24325a95426bf5e669cea942b048ad28dbc5097
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