Instructions to use pnparam/torgomixed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pnparam/torgomixed2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pnparam/torgomixed2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pnparam/torgomixed2") model = AutoModelForCTC.from_pretrained("pnparam/torgomixed2") - 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 sha256:9abf8ae2c3adcca010d24cb02fbecee824374f80b6f3267ef50b6ecd4c1870b2
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size 1261938632
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