Automatic Speech Recognition
Transformers
PyTorch
JAX
Georgian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian") model = AutoModelForCTC.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9db48fb
Create tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|"}
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