Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
English
wav2vec2
phoneme-recognition
Generated from Trainer
Eval Results (legacy)
Instructions to use bookbot/wav2vec2-ljspeech-gruut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bookbot/wav2vec2-ljspeech-gruut with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bookbot/wav2vec2-ljspeech-gruut")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bookbot/wav2vec2-ljspeech-gruut") model = AutoModelForCTC.from_pretrained("bookbot/wav2vec2-ljspeech-gruut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from bookbot/wav2vec2-ljspeech-gruut: direct link, hf CLI and curl.
- Browser
- Download file 406 Bytes
-
https://huggingface.co/bookbot/wav2vec2-ljspeech-gruut/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://bookbot/wav2vec2-ljspeech-gruut/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/bookbot/wav2vec2-ljspeech-gruut/resolve/main/special_tokens_map.json
406 Bytes
| { | |
| "additional_special_tokens": [ | |
| { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| ], | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "[PAD]", | |
| "unk_token": "[UNK]" | |
| } | |