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:
- 39699e401ac53a57aea06469c3b3ca0e41ee4d6024910e8c406264c2859b9f38
- Size of remote file:
- 305 MB
- SHA256:
- 5fdcaa25ebfeb760f1cdcc750d7526bb5ddb5550bf3b762acc7d9ab5534e2f1b
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