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:
- 26d6990b040c61e05e9c95289b7d88e70b10aecd17dec173153d1f4498cc0260
- Size of remote file:
- 2.52 GB
- SHA256:
- 09983ac2e1adfe4331f30b468c6389fc0a74303a9a6e4471d11e3f669965f42a
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