Instructions to use ai-project/wav2vec2-xlsr-large-vi-aiclass-20221-group-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-project/wav2vec2-xlsr-large-vi-aiclass-20221-group-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ai-project/wav2vec2-xlsr-large-vi-aiclass-20221-group-8")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ai-project/wav2vec2-xlsr-large-vi-aiclass-20221-group-8") model = AutoModelForCTC.from_pretrained("ai-project/wav2vec2-xlsr-large-vi-aiclass-20221-group-8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af5fb15b3204ab3240d8e2f7675a78f066942cdd37b4354372d1604ce7378711
- Size of remote file:
- 2.86 kB
- SHA256:
- 52c2cb5631e0b23072740afeab89f5f86d1c2a0874cd722e50aa45e7b351a23c
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