Instructions to use Korventenn/fr_en-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Korventenn/fr_en-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Korventenn/fr_en-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("Korventenn/fr_en-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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@@ -54,4 +54,6 @@ model = AutoModelForSeq2SeqLM.from_pretrained("Korventenn/fr_en-t5-small")
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[giga_fren](https://huggingface.co/datasets/giga_fren)
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[opus100](https://huggingface.co/datasets/opus100)
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[giga_fren](https://huggingface.co/datasets/giga_fren)
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[opus100](https://huggingface.co/datasets/opus100)
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