Instructions to use error577/65665304-fb0e-4e82-8266-aba26a9f6ca0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/65665304-fb0e-4e82-8266-aba26a9f6ca0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3-medium-4k-instruct") model = PeftModel.from_pretrained(base_model, "error577/65665304-fb0e-4e82-8266-aba26a9f6ca0") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from error577/65665304-fb0e-4e82-8266-aba26a9f6ca0: direct link, hf CLI and curl.
- Browser
- Download file 131 MB
-
https://huggingface.co/error577/65665304-fb0e-4e82-8266-aba26a9f6ca0/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://error577/65665304-fb0e-4e82-8266-aba26a9f6ca0/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/65665304-fb0e-4e82-8266-aba26a9f6ca0/resolve/main/last-checkpoint/adapter_model.safetensors
131 MB
- Xet hash:
- b8995061be1fb5500f447f9205ce82baa3e2900e1f6842a549676c48e0ff7294
- Size of remote file:
- 131 MB
- SHA256:
- 7d7aaa685261b3afe296744967871ae170b00f3a12fbca41b116d59523c6ad48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.