Instructions to use Brokette/projetCS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Brokette/projetCS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Brokette/projetCS")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Brokette/projetCS") model = AutoModelForCTC.from_pretrained("Brokette/projetCS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc1ff0e5bc5ddd9b11a7a7870d41ae3883cca177e7325dd8aad5a749a259528f
- Size of remote file:
- 378 MB
- SHA256:
- 597f04b9cc1cbb5d14a874b1f37cba1309c47ecb50486497530d43e3c905645c
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