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:
- 118115b22a47b766dd25cdd542071442e4d2cffee1aa8e8e461285fa8f07079f
- Size of remote file:
- 2.52 GB
- SHA256:
- 357704ad1934d95a5cdd3a84fa5e96bd36094e791f372c73ae1370b9b853cd56
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