Instructions to use Nextcloud-AI/opus-mt-es-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-es-fr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Nextcloud-AI/opus-mt-es-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-es-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-es-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f817bb0e31f277a5cd3884ab391c324d75c507d1951fd47d4ffbf52bc3e04fe4
- Size of remote file:
- 332 MB
- SHA256:
- 37226bb03be2b05abcc98885a861b32ad2fbe59c4de46dd31f41cd3e864c03ee
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