Instructions to use Capstone04/BootstrappedTraining_Medium_trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Capstone04/BootstrappedTraining_Medium_trial with PEFT:
from peft import PeftModel from transformers import AutoModelForSpeechSeq2Seq base_model = AutoModelForSpeechSeq2Seq.from_pretrained("Capstone04/TrainedWhisper_Medium") model = PeftModel.from_pretrained(base_model, "Capstone04/BootstrappedTraining_Medium_trial") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-6/optimizer.pt from Capstone04/BootstrappedTraining_Medium_trial: direct link, hf CLI and curl.
- Browser
- Download file 38 MB
-
https://huggingface.co/Capstone04/BootstrappedTraining_Medium_trial/resolve/main/checkpoint-6/optimizer.pt
- Command line
-
hf download hf://Capstone04/BootstrappedTraining_Medium_trial/checkpoint-6/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Capstone04/BootstrappedTraining_Medium_trial/resolve/main/checkpoint-6/optimizer.pt
38 MB
- Xet hash:
- 5020ebcb84029ba8744b0f829abc87bc4f677c5add173268b34f235c68564beb
- Size of remote file:
- 38 MB
- SHA256:
- 416d71d5fee6ebdd3c0215336790a7b034d4b5aa44a448a5f38c34f63cdd4fda
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