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:
- 242fd33a22c75cbf8830541a05e84cdebcd6174570b9b241a03c9bd4b580f1f2
- Size of remote file:
- 2.52 GB
- SHA256:
- 1b9bec5220edb8fd624049e9b24ac5ccdf9fd2535f96e622af581e1ff1a9e8d1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.