Instructions to use Mitradn/all-3data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitradn/all-3data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mitradn/all-3data")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Mitradn/all-3data") model = AutoModelForMultimodalLM.from_pretrained("Mitradn/all-3data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b94ba2677824aa42c01316b0b082fff2c8497fe00ea12be69d4d7add4c66aec8
- Size of remote file:
- 4.86 kB
- SHA256:
- c5bc927c8fa1c4c5bc0689694397cedd5d8844bffa52088bb58629fef67c1411
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