Instructions to use yashss/Phi-3-mini-128k-instruct_fineTuned_bcb84e4a-a650-4bb5-960c-bcedc60c4d36 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_bcb84e4a-a650-4bb5-960c-bcedc60c4d36 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_bcb84e4a-a650-4bb5-960c-bcedc60c4d36") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41285a2505eae6747426e53a8ab6449d02eb873eb70d7aae3ebf1dcda68d097c
- Size of remote file:
- 546 MB
- SHA256:
- af12f8d1142be2e400a8c61019595b311b22fd9a4f12bc3db787a48d2bcc811a
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