Instructions to use asanchez75/phi3.5-mini-instruct-mcq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use asanchez75/phi3.5-mini-instruct-mcq with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3.5-mini-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "asanchez75/phi3.5-mini-instruct-mcq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e2ce2fb24a8435bfe5bf5c84b70910a0893d70252120331d49818417b69f903
- Size of remote file:
- 988 Bytes
- SHA256:
- c8412784500a2a9850bfbea6dcac33af4fbe92006989b083eb80e03e68424b8e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.