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-138/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-138/optimizer.pt
- Command line
-
hf download hf://asanchez75/phi3.5-mini-instruct-mcq/checkpoint-138/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/asanchez75/phi3.5-mini-instruct-mcq/resolve/main/checkpoint-138/optimizer.pt
61.2 MB
- Xet hash:
- 9b36936926f5c7f6373017cecb468eadd7d164a13d88f26773ece104f4c0989c
- Size of remote file:
- 61.2 MB
- SHA256:
- 5bea874b9233fd465d90b286bd6d106ed965c36bf2094d98c7694a6d3561a620
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.