Instructions to use swkong/Adapter-Phi-3-mini-128k-instruct-lora-S200-E9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use swkong/Adapter-Phi-3-mini-128k-instruct-lora-S200-E9 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, "swkong/Adapter-Phi-3-mini-128k-instruct-lora-S200-E9") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from swkong/Adapter-Phi-3-mini-128k-instruct-lora-S200-E9: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/swkong/Adapter-Phi-3-mini-128k-instruct-lora-S200-E9/resolve/main/tokenizer.json
- Command line
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hf download hf://swkong/Adapter-Phi-3-mini-128k-instruct-lora-S200-E9/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/swkong/Adapter-Phi-3-mini-128k-instruct-lora-S200-E9/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.