Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
wav2vec2
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use internalhell/wav2vec2-large-ru-5ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internalhell/wav2vec2-large-ru-5ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="internalhell/wav2vec2-large-ru-5ep")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("internalhell/wav2vec2-large-ru-5ep") model = AutoModelForCTC.from_pretrained("internalhell/wav2vec2-large-ru-5ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from internalhell/wav2vec2-large-ru-5ep: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/internalhell/wav2vec2-large-ru-5ep/resolve/main/training_args.bin
- Command line
-
hf download hf://internalhell/wav2vec2-large-ru-5ep/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/internalhell/wav2vec2-large-ru-5ep/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- c2790b02aabc9eed1d9a81c1e65882478d16455cbf5431d5e20236b3a6a5ae10
- Size of remote file:
- 5.24 kB
- SHA256:
- b507d323e320c844cccc802bbbda14897b33eb8956188e6677fefb5e3653eafc
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