Automatic Speech Recognition
Transformers
Safetensors
Swahili
English
whisper
Generated from Trainer
Instructions to use Jacaranda-Health/ASR-STT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacaranda-Health/ASR-STT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jacaranda-Health/ASR-STT")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Jacaranda-Health/ASR-STT") model = AutoModelForSpeechSeq2Seq.from_pretrained("Jacaranda-Health/ASR-STT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 967400752975be90343393fd9d2c09b192e15c0195b013af51e3e3b7129938bc
- Size of remote file:
- 5.43 kB
- SHA256:
- bc4d4a56a3042c24055e4351b825f82a5f11cd736bc184a53187164c0270c9c2
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