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:
- afadee3015fec9379eec3e402daed4021c42464a86036ea6447a8ee0b0354b16
- Size of remote file:
- 2.52 GB
- SHA256:
- b68a996aa23012746329b6c59d75fe113db876ae801baac98e77289a05a2d817
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