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:
- fc9ba328ee098b14cacccbcd18698d74d2df414135800f2e8323c5740258ffaa
- Size of remote file:
- 2.52 GB
- SHA256:
- 4d754271b99ec9185485925c8a5beccfb2b127f1d3e509c70e9b5dc6d4ab6997
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