Instructions to use tathagatdev/phi-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tathagatdev/phi-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "tathagatdev/phi-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 358c5615f63239ec756d055b21a5b25c48bef570e39b5552e0203cec8bf4b9fb
- Size of remote file:
- 4.66 kB
- SHA256:
- fb7f1d5accd5c0ae49fd7b89b3ea3425ab6a5394c3e9ac038998152f3b2ae4d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.