Automatic Speech Recognition
Transformers
PyTorch
German
speech-encoder-decoder
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use jsnfly/wav2vec2-large-xlsr-53-german-gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsnfly/wav2vec2-large-xlsr-53-german-gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jsnfly/wav2vec2-large-xlsr-53-german-gpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("jsnfly/wav2vec2-large-xlsr-53-german-gpt2") model = AutoModelForSpeechSeq2Seq.from_pretrained("jsnfly/wav2vec2-large-xlsr-53-german-gpt2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot