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:
- 2f8b6749152a97ded4dee62f01caf4163da4ccaec9e1a6171b1c230531324172
- Size of remote file:
- 2.52 GB
- SHA256:
- 66a3eda7e57811ee8ff6c0c592cd5c742a149f0c6b240fec8d465d9b48858a59
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