Instructions to use llhax/phi35-mini-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llhax/phi35-mini-finetuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("llhax/phi35-mini-finetuned", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b07cb1b61cb5f9749319d12a44c9cbc6ee5b68b3f49cb9cfd7aef86c44c63efb
- Size of remote file:
- 5.71 kB
- SHA256:
- 5fed2f47ae81d8a2691ea87cb3165965a91fee2d5874536655700cfe2a372f41
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.