Instructions to use bane5631/aad541df-5aeb-414a-8bef-2f54a78e6522 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/aad541df-5aeb-414a-8bef-2f54a78e6522 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, "bane5631/aad541df-5aeb-414a-8bef-2f54a78e6522") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from bane5631/aad541df-5aeb-414a-8bef-2f54a78e6522: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/bane5631/aad541df-5aeb-414a-8bef-2f54a78e6522/resolve/main/adapter_model.bin
- Command line
-
hf download hf://bane5631/aad541df-5aeb-414a-8bef-2f54a78e6522/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/bane5631/aad541df-5aeb-414a-8bef-2f54a78e6522/resolve/main/adapter_model.bin
50.4 MB
- Xet hash:
- ebaa966c053d81214ac5e0a9559c55055d23db96b47b58afce7dffe976d89491
- Size of remote file:
- 50.4 MB
- SHA256:
- a8b705af728696a8943582975b98b285aae4f00d22764ae43b505c575fae80b6
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