Instructions to use LennyBijan/BA_Model_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LennyBijan/BA_Model_V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LennyBijan/BA_Model_V3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("LennyBijan/BA_Model_V3") model = AutoModelForSpeechSeq2Seq.from_pretrained("LennyBijan/BA_Model_V3") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files
README.md
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license: apache-2.0
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base_model: openai/whisper-large-v2
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tags:
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- generated_from_trainer
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metrics:
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- wer
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: openai/whisper-large-v2
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metrics:
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- wer
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model-index:
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