Instructions to use mgtoxd/wav2vec2test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgtoxd/wav2vec2test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mgtoxd/wav2vec2test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mgtoxd/wav2vec2test") model = AutoModelForCTC.from_pretrained("mgtoxd/wav2vec2test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from mgtoxd/wav2vec2test: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/mgtoxd/wav2vec2test/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://mgtoxd/wav2vec2test/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/mgtoxd/wav2vec2test/resolve/main/tokenizer_config.json
163 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "return_attention_mask": false, "do_normalize": true} |