Instructions to use TheAIchemist13/malayalam_beekeeping_wav2vec2-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/malayalam_beekeeping_wav2vec2-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheAIchemist13/malayalam_beekeeping_wav2vec2-3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheAIchemist13/malayalam_beekeeping_wav2vec2-3") model = AutoModelForCTC.from_pretrained("TheAIchemist13/malayalam_beekeeping_wav2vec2-3") - 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 sha256:52167d011fe94ef120ac6fc9254b6202beb48a298398c3880e08e6d593cec402
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size 377734168
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