Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use internalhell/whisper_small_ru_model_trainer_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internalhell/whisper_small_ru_model_trainer_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="internalhell/whisper_small_ru_model_trainer_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("internalhell/whisper_small_ru_model_trainer_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("internalhell/whisper_small_ru_model_trainer_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from internalhell/whisper_small_ru_model_trainer_2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/internalhell/whisper_small_ru_model_trainer_2/resolve/main/training_args.bin
- Command line
-
hf download hf://internalhell/whisper_small_ru_model_trainer_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/internalhell/whisper_small_ru_model_trainer_2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 12bd0abd7f2abe16c08cc4c1f3aaefb7372f44c974e85f1c9dbe2d125b156633
- Size of remote file:
- 5.43 kB
- SHA256:
- b66fb2d5d820797f87e163cbddeed3291ee4f70479d6a4994d02c71a16f68910
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