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:
- 9fe4cc07155949424cd6816d90953c99b4ed71b71f6aefabccd11b864bf4e086
- Size of remote file:
- 2.52 GB
- SHA256:
- 71a80fa9ef01154ccc75f7792d7c7e744c0b8bbc5c8ce08959b67c161d8a7ed8
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