Instructions to use Shubham09/complete_Wav2Vec2_500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/complete_Wav2Vec2_500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/complete_Wav2Vec2_500")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Shubham09/complete_Wav2Vec2_500") model = AutoModelForCTC.from_pretrained("Shubham09/complete_Wav2Vec2_500") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:5728f2be359029144760a8a548d1b34cc4c84553d4b1249a83faf3264cd3df8b
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size 1261987832
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