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:
- 4f12fcdf30ae79410a9911cbe1656159335844f82b9654cc7d9aa6f48d7aaae2
- Size of remote file:
- 2.52 GB
- SHA256:
- aa5edcd5e62157382139e396c07db29dd4273484f14315eb20394a35be4927dd
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