Instructions to use Nextcloud-AI/opus-mt-nl-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-nl-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-nl-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-nl-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-nl-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9308993de793727a36018c1cfc945ae4ea875351ac94e20e9494e212439c3eba
- Size of remote file:
- 297 MB
- SHA256:
- 34905c49d16400f1b86b04b926a83d65ccdc5708b24264e5a57fd75b1fb7d314
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