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:
- 959790cc7faa79bbcb1e40f65742679fed29c047427468602874024fe8a371ae
- Size of remote file:
- 2.52 GB
- SHA256:
- 0399c841777cbe1bccd4b85f2d40a5b42af8ed7398277ee9808ed298c613e2ef
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