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:
- c427ba2acea5925065cd96d50c7afd5ce23b35e0b61151040f265d8847266585
- Size of remote file:
- 2.52 GB
- SHA256:
- b1e118f1a9505295aa1e94530668026849d0664d12274d34e79fcf44e2c51b5e
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