Instructions to use vdos/903fab7b-8eba-4faa-8dda-af1bd72faab9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/903fab7b-8eba-4faa-8dda-af1bd72faab9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "vdos/903fab7b-8eba-4faa-8dda-af1bd72faab9") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from vdos/903fab7b-8eba-4faa-8dda-af1bd72faab9: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/vdos/903fab7b-8eba-4faa-8dda-af1bd72faab9/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://vdos/903fab7b-8eba-4faa-8dda-af1bd72faab9/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/vdos/903fab7b-8eba-4faa-8dda-af1bd72faab9/resolve/main/adapter_model.safetensors
320 MB
- Xet hash:
- d0fd239b86cdde3a3f861d14b16a0042d7254ccacec800281a32ce8710d9d83e
- Size of remote file:
- 320 MB
- SHA256:
- 893e19112903715057e861fe643a461abafaa09808f293012d335ddbc7aaabe9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.