Instructions to use aware-ai/whisper-tiny-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/whisper-tiny-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aware-ai/whisper-tiny-german")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aware-ai/whisper-tiny-german") model = AutoModelForSpeechSeq2Seq.from_pretrained("aware-ai/whisper-tiny-german") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
#3
by aementio - opened
If you rely on the Rust Tokenizer implementations (through bindings to Tokenizers) and therefore always requires the tokenizer.json file.
Generated with:
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("aware-ai/whisper-tiny-german")
assert tokenizer.is_fast
tokenizer.save_pretrained("...")
thanks for catching this
flozi00 changed pull request status to merged