Instructions to use amarshiv86/p07-sre-lora-phi3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amarshiv86/p07-sre-lora-phi3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "amarshiv86/p07-sre-lora-phi3") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-6/training_args.bin from amarshiv86/p07-sre-lora-phi3: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/amarshiv86/p07-sre-lora-phi3/resolve/main/checkpoint-6/training_args.bin
- Command line
-
hf download hf://amarshiv86/p07-sre-lora-phi3/checkpoint-6/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amarshiv86/p07-sre-lora-phi3/resolve/main/checkpoint-6/training_args.bin
5.11 kB
- Xet hash:
- fd6bcb09474d78f44d8c1212a525ea0173f1bfe3233f7479d052dc0335925173
- Size of remote file:
- 5.11 kB
- SHA256:
- 42096b03285512f91212d7af59da419b1a6f9e4e14e8b70577d5ccb455581313
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