Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/small_8_17f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/small_8_17f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/small_8_17f")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/small_8_17f") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/small_8_17f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/small_8_17f: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/simran14/small_8_17f/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/small_8_17f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/small_8_17f/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 7a5020da59a0ae99c5c7876cb21a2c10a4a7b88f540bee927f52f14a5a639536
- Size of remote file:
- 5.3 kB
- SHA256:
- 133aa9a8dbf6eadcad86ac4d8ccc76e678cf11766788304241b22af001821d08
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