Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Val123val/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Val123val/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Val123val/my_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Val123val/my_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Val123val/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Val123val/my_model: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Val123val/my_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Val123val/my_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Val123val/my_model/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 27668fe3e07f920b4d9d292edd4067433fe389e55a38d480ed286f87424fe884
- Size of remote file:
- 4.86 kB
- SHA256:
- 41016e4a75ecf3c86ff65fb3efe17b59c9ca94dc6650eb8135f86892ce37720a
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