Instructions to use cminja/wav2vec2-sft-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cminja/wav2vec2-sft-sr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cminja/wav2vec2-sft-sr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cminja/wav2vec2-sft-sr") model = AutoModelForCTC.from_pretrained("cminja/wav2vec2-sft-sr", 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 sha256:5b732697b6dd9273c5986eb48c329c0ee1ed95a27af7e738e789f9f3ad6c2d7c
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size 1261914032
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