Instructions to use bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 274212a466727817eb614e2a5ceaf54f6fe509a1e4b178e15764ebe093e69178
- Size of remote file:
- 6.84 kB
- SHA256:
- 4c1362ca123f05f02ce671ad2d28b21f6e18b6353c029b1568be4331683027a7
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