Instructions to use ilyes25/baseline_sim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilyes25/baseline_sim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ilyes25/baseline_sim")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ilyes25/baseline_sim") model = AutoModelForCTC.from_pretrained("ilyes25/baseline_sim", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ilyes25/baseline_sim: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/ilyes25/baseline_sim/resolve/main/training_args.bin
- Command line
-
hf download hf://ilyes25/baseline_sim/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ilyes25/baseline_sim/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- ee8e438e802f7db0e572a5edb22f820ca2e828948ce36a19bcd582d67bb0216c
- Size of remote file:
- 5.3 kB
- SHA256:
- 9e130247a614efca89755c870a4c4338c6ee5a7afb37053237ce019c0c9e5c4f
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