Instructions to use Nextcloud-AI/opus-mt-tr-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-tr-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-tr-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-tr-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-tr-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc62cca0508449bb449624dd45102d834a736dec1e76f5c6454f44e4e39e4a97
- Size of remote file:
- 301 MB
- SHA256:
- 8e28fe6e0dc8a7c6619a8fff60eee330b4ad9f2fd686dbf44fc112d7bc62d5c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.