Instructions to use AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada/resolve/03e732fc1940bb1bf536310cebe1da040db28ac9/tokenizer.json
- Command line
-
hf download hf://AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada@03e732fc1940bb1bf536310cebe1da040db28ac9/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada/resolve/03e732fc1940bb1bf536310cebe1da040db28ac9/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.