Instructions to use fedovtt/76b2d76f-2806-4468-b061-b77a8dad386a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/76b2d76f-2806-4468-b061-b77a8dad386a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "fedovtt/76b2d76f-2806-4468-b061-b77a8dad386a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from fedovtt/76b2d76f-2806-4468-b061-b77a8dad386a: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/fedovtt/76b2d76f-2806-4468-b061-b77a8dad386a/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://fedovtt/76b2d76f-2806-4468-b061-b77a8dad386a/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fedovtt/76b2d76f-2806-4468-b061-b77a8dad386a/resolve/main/last-checkpoint/training_args.bin
6.71 kB
- Xet hash:
- 086eac51e3c22a176d7a04236b3db3a4c04169a33cc300abf27ba3bf47161f16
- Size of remote file:
- 6.71 kB
- SHA256:
- 0ba90223e33182761778037337c2e44a3e10edf2930969c20b8835bfa7fdf180
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