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:
- a2d34716f39ddc0357f0b4eae21da84aeea4730ac12b2fcd212922b8c0757797
- Size of remote file:
- 2.52 GB
- SHA256:
- 5cf0369c9d6406f3baf59a1f17ae18214eaeca1c6d15cf06e38843dafc7c257f
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