How to use lighteternal/wav2vec2-large-xlsr-53-greek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lighteternal/wav2vec2-large-xlsr-53-greek")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lighteternal/wav2vec2-large-xlsr-53-greek") model = AutoModelForCTC.from_pretrained("lighteternal/wav2vec2-large-xlsr-53-greek", device_map="auto")
https://huggingface.co/lighteternal/wav2vec2-large-xlsr-53-greek/resolve/75fa8a84540cea72f1e40343e0eb6d3588736632/special_tokens_map.json
hf download hf://lighteternal/wav2vec2-large-xlsr-53-greek@75fa8a84540cea72f1e40343e0eb6d3588736632/special_tokens_map.json
curl -L -o special_tokens_map.json https://huggingface.co/lighteternal/wav2vec2-large-xlsr-53-greek/resolve/75fa8a84540cea72f1e40343e0eb6d3588736632/special_tokens_map.json
