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:
- 91143ced342e996dfd4c247a5e860eecfc04844dded2f136c1b8b6a22226ad10
- Size of remote file:
- 2.52 GB
- SHA256:
- a5c3e211c2c853a9c27488ef0ca433bc061b9a437cb8c32e2e0803a26306bedf
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