Instructions to use AravindS373/test_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AravindS373/test_checkpoint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("AravindS373/sft_model") model = PeftModel.from_pretrained(base_model, "AravindS373/test_checkpoint") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AravindS373/test_checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 5.88 kB
-
https://huggingface.co/AravindS373/test_checkpoint/resolve/main/training_args.bin
- Command line
-
hf download hf://AravindS373/test_checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AravindS373/test_checkpoint/resolve/main/training_args.bin
5.88 kB
- Xet hash:
- ee038ca9cef7c48345ed965bd11cf480b8c8c013e89f8fa66fecd60f28023534
- Size of remote file:
- 5.88 kB
- SHA256:
- 69e8d35d2629a832dfc47715e4493affd7789a1487138f8ed20e402870b4fa74
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