Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Simonom/small_model_30_WAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Simonom/small_model_30_WAR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Simonom/small_model_30_WAR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Simonom/small_model_30_WAR") model = AutoModelForSpeechSeq2Seq.from_pretrained("Simonom/small_model_30_WAR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Simonom/small_model_30_WAR: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Simonom/small_model_30_WAR/resolve/main/training_args.bin
- Command line
-
hf download hf://Simonom/small_model_30_WAR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Simonom/small_model_30_WAR/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- d459c3dda875ecaf80a4f4895cd9d1a045c853e8964f9ef54c4ec6d531794a6f
- Size of remote file:
- 5.43 kB
- SHA256:
- 6b247b409e3d5a2c2ee8acf9ea8e9242f49fa31d4e12118d2f2a112be60a57e9
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