Instructions to use bartelds/gos-gpum2-cp0_adp0_168-tts_24-orig_1e-4_cp-12500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bartelds/gos-gpum2-cp0_adp0_168-tts_24-orig_1e-4_cp-12500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bartelds/gos-gpum2-cp0_adp0_168-tts_24-orig_1e-4_cp-12500")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bartelds/gos-gpum2-cp0_adp0_168-tts_24-orig_1e-4_cp-12500") model = AutoModelForCTC.from_pretrained("bartelds/gos-gpum2-cp0_adp0_168-tts_24-orig_1e-4_cp-12500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot