Instructions to use chompk/wav2vec2-large-xlsr-thai-tokenized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chompk/wav2vec2-large-xlsr-thai-tokenized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chompk/wav2vec2-large-xlsr-thai-tokenized")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("chompk/wav2vec2-large-xlsr-thai-tokenized") model = AutoModelForCTC.from_pretrained("chompk/wav2vec2-large-xlsr-thai-tokenized") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df1989cc5933668ec48d43c82bbc1b054499c03babc4cca06cf12ec7cd15f62c
- Size of remote file:
- 1.26 GB
- SHA256:
- 9fe48b9ea9084fe42c54aa1847773edaf6117b4f46499e38bf9c27c0292bfa04
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