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:
- 9bb751bbf2229c164fdda0019c3feabb05df2258524961dfa07e414e9ff66a01
- Size of remote file:
- 2.52 GB
- SHA256:
- 90c4556da04b772728441fd7255017ba8b281f7c53963d623c3e58d9df661dcf
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