Instructions to use JSWOOK/finetuning_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSWOOK/finetuning_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JSWOOK/finetuning_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JSWOOK/finetuning_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("JSWOOK/finetuning_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JSWOOK/finetuning_model: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/JSWOOK/finetuning_model/resolve/main/training_args.bin
- Command line
-
hf download hf://JSWOOK/finetuning_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JSWOOK/finetuning_model/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 814bc551044343bf0a24ff4ecb429b9d7a0454af85ae8c4d3ee52f74ed8fccd7
- Size of remote file:
- 5.43 kB
- SHA256:
- eea6feb12b8ee51fe82749365a96481e7540dfb667695fa779acd47dc3cad49e
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