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:
- 6c43e82a581e0ddffa1cd38d848705e5eb58028afb3c7e472e682cbf421d5a9b
- Size of remote file:
- 2.52 GB
- SHA256:
- de000924883d5ff6dcf6c77d120a988785997c43a8c3355d983438fb4334caee
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