Instructions to use pirxus/wav2vec2_s2t_encoder_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pirxus/wav2vec2_s2t_encoder_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pirxus/wav2vec2_s2t_encoder_base")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pirxus/wav2vec2_s2t_encoder_base") model = AutoModelForCTC.from_pretrained("pirxus/wav2vec2_s2t_encoder_base") - 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 sha256:70e047fc82e5da9e2cdabd839174106325af17e6f9473c7fda7606a76e52711a
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size 82614800
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