Instructions to use dmusingu/xls_r_fleurs_fula with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmusingu/xls_r_fleurs_fula with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dmusingu/xls_r_fleurs_fula")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("dmusingu/xls_r_fleurs_fula") model = AutoModelForCTC.from_pretrained("dmusingu/xls_r_fleurs_fula", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 1600
Verified signaturef6bb0d7 -
Training in progress, step 1200
Verified signaturee8a386a -
Training in progress, step 800
Verified signature39ce294 -
Training in progress, step 400
Verified signature2653c9c -
Training in progress, step 400
Verified signaturec2b26be -
initial commit
Verified signature22fd310