Instructions to use Aanchan/psst_model_cer_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aanchan/psst_model_cer_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aanchan/psst_model_cer_3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Aanchan/psst_model_cer_3") model = AutoModelForCTC.from_pretrained("Aanchan/psst_model_cer_3") - 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:bb411a3f8867d1b22890ab7bfe7b12563c053a13393baa212b3a4725b9222a0a
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size 377647984
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