Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use pere/xls-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/xls-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pere/xls-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pere/xls-test") model = AutoModelForCTC.from_pretrained("pere/xls-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from pere/xls-test: direct link, hf CLI and curl.
- Browser
- Download file 260 Bytes
-
https://huggingface.co/pere/xls-test/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://pere/xls-test/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/pere/xls-test/resolve/main/tokenizer_config.json
260 Bytes
| {"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"} |