Instructions to use fj11/ScreenTalk-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fj11/ScreenTalk-xs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fj11/ScreenTalk-xs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fj11/ScreenTalk-xs") model = AutoModelForSpeechSeq2Seq.from_pretrained("fj11/ScreenTalk-xs") - Notebooks
- Google Colab
- Kaggle
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| adapter_model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| runs/Mar11_19-34-12_7fb2baea0071/events.out.tfevents.1741721656.7fb2baea0071.31.1 filter=lfs diff=lfs merge=lfs -text | |
| runs/Mar19_14-12-15_91aa83b79609/events.out.tfevents.1742393543.91aa83b79609.312.0 filter=lfs diff=lfs merge=lfs -text | |