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:
- cb8e3ea97af85d0e767ae30b94a7e427faf5c4a34def88d060e9e06aa479f861
- Size of remote file:
- 2.52 GB
- SHA256:
- 9986efca97f58b8dbd8cc1ad16f3f5a9d3ad0d43cf76ae5b209405bc80382c56
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.