Instructions to use yashss/Phi-3-mini-128k-instruct_fineTuned_45ee384b-cd44-476e-a2eb-83113340845b 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_45ee384b-cd44-476e-a2eb-83113340845b 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_45ee384b-cd44-476e-a2eb-83113340845b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from yashss/Phi-3-mini-128k-instruct_fineTuned_45ee384b-cd44-476e-a2eb-83113340845b: direct link, hf CLI and curl.
- Browser
- Download file 303 MB
-
https://huggingface.co/yashss/Phi-3-mini-128k-instruct_fineTuned_45ee384b-cd44-476e-a2eb-83113340845b/resolve/da91237e2b1f1f072c66bff58dd8167fd10ac4e0/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://yashss/Phi-3-mini-128k-instruct_fineTuned_45ee384b-cd44-476e-a2eb-83113340845b@da91237e2b1f1f072c66bff58dd8167fd10ac4e0/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/yashss/Phi-3-mini-128k-instruct_fineTuned_45ee384b-cd44-476e-a2eb-83113340845b/resolve/da91237e2b1f1f072c66bff58dd8167fd10ac4e0/last-checkpoint/optimizer.pt
303 MB
- Xet hash:
- 4c7d602e254fff9a74f4079b3e5fc93fb4b836e4ca5ecc3c63286db3a167b51b
- Size of remote file:
- 303 MB
- SHA256:
- 89e91d30efb28a94aed636705a51080f8329dbd0f7161c55e29b47b0d4f10512
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