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:
- 643fcd1678d9ef01aa7c0b4a4be077240de386fa2018e8ff2a7095dd85f6b63d
- Size of remote file:
- 524 MB
- SHA256:
- cc90c525753df63954924c4826541ddb49ed448dda152c2d2ad938adc5d12e3c
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