Automatic Speech Recognition
Transformers
PyTorch
English
German
speech-encoder-decoder
audio
speech-translation
speech2text2
Instructions to use facebook/s2t-wav2vec2-large-en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/s2t-wav2vec2-large-en-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/s2t-wav2vec2-large-en-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("facebook/s2t-wav2vec2-large-en-de") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-wav2vec2-large-en-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from facebook/s2t-wav2vec2-large-en-de: direct link, hf CLI and curl.
- Browser
- Download file 85 Bytes
-
https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://facebook/s2t-wav2vec2-large-en-de/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/special_tokens_map.json
85 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"} |