Instructions to use JunWorks/Quantized_8bit_WhisperSmallStd_zhTW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunWorks/Quantized_8bit_WhisperSmallStd_zhTW with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JunWorks/Quantized_8bit_WhisperSmallStd_zhTW")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JunWorks/Quantized_8bit_WhisperSmallStd_zhTW") model = AutoModelForSpeechSeq2Seq.from_pretrained("JunWorks/Quantized_8bit_WhisperSmallStd_zhTW", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update requirements.txt
Verified signature506f18e -
Create requirements.txt
Verified signature68a85a7 -
Update README.md
Verified signatureee359eb -
Upload processor
Verified signature3f688ee -
Upload tokenizer
Verified signatured2ac78c -
Upload WhisperForConditionalGeneration
Verified signature40e73eb -
initial commit
Verified signature91a7c84