Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Romanian
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use iulik-pisik/all_data_model_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iulik-pisik/all_data_model_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="iulik-pisik/all_data_model_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("iulik-pisik/all_data_model_base") model = AutoModelForSpeechSeq2Seq.from_pretrained("iulik-pisik/all_data_model_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Create README.md
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Add tokenizer
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Training in progress, step 4000
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initial commit
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