Instructions to use patrickvonplaten/wav2vec2_tiny_random_robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2_tiny_random_robust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wav2vec2_tiny_random_robust")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2_tiny_random_robust") model = AutoModel.from_pretrained("patrickvonplaten/wav2vec2_tiny_random_robust", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from patrickvonplaten/wav2vec2_tiny_random_robust: direct link, hf CLI and curl.
- Browser
- Download file 138 Bytes
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https://huggingface.co/patrickvonplaten/wav2vec2_tiny_random_robust/resolve/main/tokenizer_config.json
- Command line
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hf download hf://patrickvonplaten/wav2vec2_tiny_random_robust/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/patrickvonplaten/wav2vec2_tiny_random_robust/resolve/main/tokenizer_config.json
138 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "word_delimiter_token": "|"} |