Instructions to use meshari1415/voicecs-es-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meshari1415/voicecs-es-ar with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("meshari1415/voicecs-es-ar") model = AutoModelForSeq2SeqLM.from_pretrained("meshari1415/voicecs-es-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 229bd8971258aaf59023188d5a3dd3327306e16367824ab2ace433a048c7ce7b
- Size of remote file:
- 5.33 kB
- SHA256:
- 36a19108578f71ebfba92707018ab3dc7fe585ca26101bcf5247357a0d583cc0
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