Instructions to use Umong/w2v-bert-2.0-bd-regional-dialects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Umong/w2v-bert-2.0-bd-regional-dialects with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Umong/w2v-bert-2.0-bd-regional-dialects")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Umong/w2v-bert-2.0-bd-regional-dialects") model = AutoModelForCTC.from_pretrained("Umong/w2v-bert-2.0-bd-regional-dialects") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d192e0063236b49022875d566a590931a1248bb7b4dbfbf80fcb3e43a84330ac
- Size of remote file:
- 2.42 GB
- SHA256:
- f29451dfe9ee11f6c602f85cacdd79bddb05b2e7c80aebc3f71abd1bf8891395
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