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:
- ecd52666044337aaa4f4d54b0b21a34504c6f337ce40ba6484ecf0905ebe6f27
- Size of remote file:
- 9.84 kB
- SHA256:
- fa1fe5d5de4a5dbb2478a16fed1f513a70fb5fc340c1e4812927918aef1c8bc6
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