Instructions to use VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 17c8f4886be918e185263b649b0a35a7c8e91bb71e469395931d255b13d0b230
- Size of remote file:
- 6.78 kB
- SHA256:
- 0102562b083f8a57b62819321ee54f227614b8d3508ec68d9ea7d50eddcf3279
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