Instructions to use jonatasgrosman/exp_w2v2t_en_unispeech_s870 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/exp_w2v2t_en_unispeech_s870 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_en_unispeech_s870")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech_s870") model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech_s870", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from jonatasgrosman/exp_w2v2t_en_unispeech_s870: direct link, hf CLI and curl.
- Browser
- Download file 314 Bytes
-
https://huggingface.co/jonatasgrosman/exp_w2v2t_en_unispeech_s870/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://jonatasgrosman/exp_w2v2t_en_unispeech_s870/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/jonatasgrosman/exp_w2v2t_en_unispeech_s870/resolve/main/tokenizer_config.json
314 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": "/tmp/tmpoyi_45ok", "tokenizer_class": "Wav2Vec2CTCTokenizer", "processor_class": "Wav2Vec2Processor"} |