Instructions to use anilbhatt1/peft_phi2_v9_l2220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anilbhatt1/peft_phi2_v9_l2220 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anilbhatt1/peft_phi2_v9_l2220", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05dcd8d0a04ed88191ffa3252396628c6e9622b3775b5480423626d401c77c72
- Size of remote file:
- 893 MB
- SHA256:
- 9363019fe8ee2eb00c522c7df762cd07ea871603260678b6dc6745c768540d24
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.