Instructions to use le-woudar/m2m100_1.2B-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use le-woudar/m2m100_1.2B-ct2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("le-woudar/m2m100_1.2B-ct2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
remove tag "Inference Endpoint" added automatically by Huggingface
Browse files
README.md
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- 101 languages
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- text2text generation
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- Inference Endpoints
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# Model Card for m2m100_1.2B-ct2
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This model was generated using the base [Facebook m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) model and [Ctranslate2](https://opennmt.net/CTranslate2/guides/transformers.html) backend.
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You can use it if you want but I'm not responsible of any damage :)
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- 101 languages
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- pytorch
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- text2text generation
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# Model Card for m2m100_1.2B-ct2
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This model was generated using the base [Facebook m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) model and [Ctranslate2](https://opennmt.net/CTranslate2/guides/transformers.html) backend.
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You can use it if you want but I'm not responsible of any damage :)
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