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/scheduler.pt from bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- be9fc83e596ec987abc9cf7530d56430aef8d7fa40315b6d77112e561876447f
- Size of remote file:
- 1.06 kB
- SHA256:
- e70710c409284f74d525f8db5cfaccc22a8afd29416f19c595da9242ec92d936
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