Instructions to use devkyle/base-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/base-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/base-v5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/base-v5") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/base-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature926f200 -
Training in progress, step 1000
Verified signature41e2275
-
End of training
Verified signatureb0f6983
-
Training in progress, step 1000
Verified signatureeba000c -
Training in progress, step 1000
Verified signature5fee6c1
-
initial commit
Verified signature9582c1a