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:
- 3725cea3547aad63e1a0e86f3a2caa0a89945d11b50ae6f524779a6c47b81961
- Size of remote file:
- 2.52 GB
- SHA256:
- 2eb0eb79e657387235740306bcd50015db2f6f53b5c801cae1083da50df24056
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