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:
- 6938e105f5e11e7e4b4edb0c0b2aa247fb2d4e9213722417a3f40c9f12035f68
- Size of remote file:
- 2.52 GB
- SHA256:
- 7a7bbea6e0d1e060fa52965cef0b6a9cc3a1a488c1f215f939ddbc9856d04375
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