Instructions to use aggtamv/Wav2vec2Askisi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aggtamv/Wav2vec2Askisi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aggtamv/Wav2vec2Askisi", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("aggtamv/Wav2vec2Askisi") model = AutoModelForCTC.from_pretrained("aggtamv/Wav2vec2Askisi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload special_tokens_map.json
Browse files- special_tokens_map.json +1 -0
special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
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