Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
German
whisper
whisper-event
Eval Results (legacy)
Instructions to use bofenghuang/whisper-large-v2-cv11-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bofenghuang/whisper-large-v2-cv11-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-large-v2-cv11-german")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bofenghuang/whisper-large-v2-cv11-german") model = AutoModelForSpeechSeq2Seq.from_pretrained("bofenghuang/whisper-large-v2-cv11-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fine Tune Procedure
1
#5 opened almost 3 years ago
by
IrOrFp1Z
Librarian Bot: Add base_model information to model
#4 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot