Instructions to use Achitha/ta-eng-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Achitha/ta-eng-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Achitha/ta-eng-data")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Achitha/ta-eng-data") model = AutoModelForSpeechSeq2Seq.from_pretrained("Achitha/ta-eng-data") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:51aa094f5012f412623a13cf3e608497d874166953e18db1ef8f8aa43413f3e0
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size 290403936
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