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:
- c6acb1799d3a2a3d4fc0dc1929374db9f96e1ebcc3cbdd6520ad16fc5efe2c7d
- Size of remote file:
- 2.52 GB
- SHA256:
- fd17f31eca010aa6351aa8800c9b154ff231c3e7cb1298ded1b198378e7d0609
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