Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use datdo2717/11_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datdo2717/11_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="datdo2717/11_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("datdo2717/11_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("datdo2717/11_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from datdo2717/11_2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/datdo2717/11_2/resolve/main/training_args.bin
- Command line
-
hf download hf://datdo2717/11_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/datdo2717/11_2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- e64f8db1a670d5eaa9249066e530a06c779dfb834384650f8990c09e07c28720
- Size of remote file:
- 5.43 kB
- SHA256:
- d6d0a3c2d1542824055c0ca2fed403107ae7d00191cf6d510d0ce0d8e34012f1
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