Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use internalhell/wav2vec2-russian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internalhell/wav2vec2-russian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="internalhell/wav2vec2-russian")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("internalhell/wav2vec2-russian") model = AutoModelForSpeechSeq2Seq.from_pretrained("internalhell/wav2vec2-russian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from internalhell/wav2vec2-russian: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/internalhell/wav2vec2-russian/resolve/main/training_args.bin
- Command line
-
hf download hf://internalhell/wav2vec2-russian/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/internalhell/wav2vec2-russian/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- b995853b2bed28fd572c8e5b9bd2cb889abcbb7d7b7fd977fcead305e0eb3c24
- Size of remote file:
- 5.5 kB
- SHA256:
- 4d74283e975e7c63797e0c5ccb4fa7ac84642534098dd3fc53714a8e31480a6d
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