Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/small_8_b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/small_8_b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/small_8_b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/small_8_b") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/small_8_b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/small_8_b: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/simran14/small_8_b/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/small_8_b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/small_8_b/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- e62cf46cfefa29f0f7bd39e8ee30593c30f7a2be29de20b847ecdde389afc235
- Size of remote file:
- 5.3 kB
- SHA256:
- 04a091ba8c7bdef09907e95ac05a3e751d1c19bad06cd9549e62f1125abbc94b
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