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:
- fa1f0907f448b34aa13cb759394ee2a4ac033837b3f3a9b8fa9b14fbfef915bf
- Size of remote file:
- 2.52 GB
- SHA256:
- b34c792570accb5c839886d4ac332522d559885a6aad3f5ad722cc1cc946bb46
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