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
Download checkpoint-92/optimizer.pt from asanchez75/phi3.5-mini-instruct-mcq: direct link, hf CLI and curl.
- Browser
- Download file 61.2 MB
-
https://huggingface.co/asanchez75/phi3.5-mini-instruct-mcq/resolve/main/checkpoint-92/optimizer.pt
- Command line
-
hf download hf://asanchez75/phi3.5-mini-instruct-mcq/checkpoint-92/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/asanchez75/phi3.5-mini-instruct-mcq/resolve/main/checkpoint-92/optimizer.pt
61.2 MB
- Xet hash:
- 0aa5cf573e821a0e2f6d5e99ae4280e09e602e28981469b3ae999ad399c6330e
- Size of remote file:
- 61.2 MB
- SHA256:
- 0dd3f1eeb2d7c2ae9390286330c1b0501b9eb0aa6b2921e6894d7ccd256f3828
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