Instructions to use 3STest/DAMpartial_DS10medium_jax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3STest/DAMpartial_DS10medium_jax with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="3STest/DAMpartial_DS10medium_jax")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("3STest/DAMpartial_DS10medium_jax") model = AutoModelForSpeechSeq2Seq.from_pretrained("3STest/DAMpartial_DS10medium_jax", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from 3STest/DAMpartial_DS10medium_jax: direct link, hf CLI and curl.
- Browser
- Download file 50 Bytes
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https://huggingface.co/3STest/DAMpartial_DS10medium_jax/resolve/main/.gitattributes
- Command line
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hf download hf://3STest/DAMpartial_DS10medium_jax/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/3STest/DAMpartial_DS10medium_jax/resolve/main/.gitattributes
50 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |