Instructions to use yashss/Phi-3-mini-128k-instruct_fineTuned_26dc97d9-abe4-4db4-a1c6-dd2ae035ed40 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_26dc97d9-abe4-4db4-a1c6-dd2ae035ed40 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_26dc97d9-abe4-4db4-a1c6-dd2ae035ed40") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from yashss/Phi-3-mini-128k-instruct_fineTuned_26dc97d9-abe4-4db4-a1c6-dd2ae035ed40: direct link, hf CLI and curl.
- Browser
- Download file 303 MB
-
https://huggingface.co/yashss/Phi-3-mini-128k-instruct_fineTuned_26dc97d9-abe4-4db4-a1c6-dd2ae035ed40/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://yashss/Phi-3-mini-128k-instruct_fineTuned_26dc97d9-abe4-4db4-a1c6-dd2ae035ed40/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/yashss/Phi-3-mini-128k-instruct_fineTuned_26dc97d9-abe4-4db4-a1c6-dd2ae035ed40/resolve/main/last-checkpoint/optimizer.pt
303 MB
- Xet hash:
- dd795bca510c449cb426c1b48a15c066a8a056ffda7895fddaf58c80bd4e9fe2
- Size of remote file:
- 303 MB
- SHA256:
- 8c154cc9587844b3fd021caec1db90ffaec06fef0faeab77366f36815e980cbb
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