Instructions to use Nextcloud-AI/opus-mt-en-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-en-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-en-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-en-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-en-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 335d57d28eead7c3a8a67d29daac9a182981bf41196404422219c4cfb6c14ad7
- Size of remote file:
- 299 MB
- SHA256:
- 7b7ebb1b554e24be9f05afbe805ad155e972695624f261c2328f420d880373bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.