Instructions to use yashss/Phi-3-mini-128k-instruct_fineTuned_3d3142be-fd23-45b1-aa1d-313824303b80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yashss/Phi-3-mini-128k-instruct_fineTuned_3d3142be-fd23-45b1-aa1d-313824303b80 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, "yashss/Phi-3-mini-128k-instruct_fineTuned_3d3142be-fd23-45b1-aa1d-313824303b80") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from yashss/Phi-3-mini-128k-instruct_fineTuned_3d3142be-fd23-45b1-aa1d-313824303b80: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/yashss/Phi-3-mini-128k-instruct_fineTuned_3d3142be-fd23-45b1-aa1d-313824303b80/resolve/main/tokenizer.json
- Command line
-
hf download hf://yashss/Phi-3-mini-128k-instruct_fineTuned_3d3142be-fd23-45b1-aa1d-313824303b80/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/yashss/Phi-3-mini-128k-instruct_fineTuned_3d3142be-fd23-45b1-aa1d-313824303b80/resolve/main/tokenizer.json
1.84 MB
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