Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/small_8_c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/small_8_c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/small_8_c")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/small_8_c") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/small_8_c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/small_8_c: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/simran14/small_8_c/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/small_8_c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/small_8_c/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 0b332715b036150ae922762eaa6800bd3c67290ccaf109bed6f24d31e49c2870
- Size of remote file:
- 5.3 kB
- SHA256:
- 3a6b877f83b183e8aee76c30de7bac1fb49d6d2d46128e1dbc54d1f29e708f40
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