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:
- 7d31a6757a91fbdbf7a34f35990a5212266a3fb90f878d544ea918e047e693fd
- Size of remote file:
- 2.52 GB
- SHA256:
- 7765c89b0d022975875353184c4dbca5b93f68a20d18e5321a21aedee86f106e
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