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:
- 559c899a3529b81a72d349dd91feaa04631a23d51a0ba944e5dd21c158f6e2f2
- Size of remote file:
- 2.52 GB
- SHA256:
- 06abafebec15d7a13619ce4c5901d9a2d953341dcf50f6cde1bfe23e254c0091
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.