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:
- 32d062fa85077d66556f8c48eebe2ac13e0c9381a00729a9030e2732182580cd
- Size of remote file:
- 2.52 GB
- SHA256:
- 394c0761b0d7ea1de2b29e79e36f95be599e24dbb71a4aeb5b5da641a235ddfe
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