Instructions to use speech31/wav2vec2-large-TIMIT-IPA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/wav2vec2-large-TIMIT-IPA2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/wav2vec2-large-TIMIT-IPA2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/wav2vec2-large-TIMIT-IPA2") model = AutoModelForCTC.from_pretrained("speech31/wav2vec2-large-TIMIT-IPA2", device_map="auto") - 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 sha256:054f7310a5c964282d1f4ebb0215502f09b35cb65de5de4340fe60ee91db45da
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size 1261946520
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