Instructions to use lfhe/FLock-Arena-Task-9-Argus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lfhe/FLock-Arena-Task-9-Argus with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "lfhe/FLock-Arena-Task-9-Argus") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lfhe/FLock-Arena-Task-9-Argus: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/lfhe/FLock-Arena-Task-9-Argus/resolve/main/tokenizer.json
- Command line
-
hf download hf://lfhe/FLock-Arena-Task-9-Argus/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lfhe/FLock-Arena-Task-9-Argus/resolve/main/tokenizer.json
3.62 MB
- Xet hash:
- 1d285f4698f3ad09fe3168a5c293377e6017c2c82e109186a8ffca883a3a6e9f
- Size of remote file:
- 3.62 MB
- SHA256:
- 2923f15e986925cfb5e017bc9acbe2e24add5218d2b44558e1283fe76bb6df04
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.