Instructions to use layla54/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use layla54/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="layla54/content")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("layla54/content") model = AutoModelForSpeechSeq2Seq.from_pretrained("layla54/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from layla54/content: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/layla54/content/resolve/main/training_args.bin
- Command line
-
hf download hf://layla54/content/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/layla54/content/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- c1829c81c7cf0660d6dfefd8e58c272063a40317fd4dd0e16adc89bc521c8867
- Size of remote file:
- 4.66 kB
- SHA256:
- 31785a92a345df8107761e86269ef5a5a9469cd56e660c3364b0bf785ea6e6c3
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