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:
- 5c220b3414ee839d8f0a60812fe500aa34cfec134046f42175343b99e07c8b7a
- Size of remote file:
- 2.52 GB
- SHA256:
- ecf8e6cd07a40f0c6c2427540bb1ac5c941a4f883ac6eba6c1bc01f2ed2041f0
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