Instructions to use Ar4ikov/Wav2Vec2ForSpeechClassification73 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ar4ikov/Wav2Vec2ForSpeechClassification73 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2Classification processor = AutoProcessor.from_pretrained("Ar4ikov/Wav2Vec2ForSpeechClassification73") model = Wav2Vec2Classification.from_pretrained("Ar4ikov/Wav2Vec2ForSpeechClassification73", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Ar4ikov/Wav2Vec2ForSpeechClassification73: direct link, hf CLI and curl.
- Browser
- Download file 575 Bytes
-
https://huggingface.co/Ar4ikov/Wav2Vec2ForSpeechClassification73/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Ar4ikov/Wav2Vec2ForSpeechClassification73/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Ar4ikov/Wav2Vec2ForSpeechClassification73/resolve/main/tokenizer_config.json
575 Bytes
| { | |
| "bos_token": "<s>", | |
| "do_lower_case": false, | |
| "do_normalize": false, | |
| "eos_token": "</s>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "name_or_path": "jonatasgrosman/wav2vec2-large-xlsr-53-russian", | |
| "pad_token": "<pad>", | |
| "return_attention_mask": false, | |
| "special_tokens_map_file": "/home/ar4ikov/.cache/huggingface/hub/models--jonatasgrosman--wav2vec2-large-xlsr-53-russian/snapshots/2329100508896c6d9b157019803ab5601e6f3406/special_tokens_map.json", | |
| "tokenizer_class": "Wav2Vec2Tokenizer", | |
| "unk_token": "<unk>", | |
| "word_delimiter_token": "|" | |
| } | |