Instructions to use Sampreetha/opus-mt-fr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sampreetha/opus-mt-fr-en 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="Sampreetha/opus-mt-fr-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sampreetha/opus-mt-fr-en") model = AutoModelForSeq2SeqLM.from_pretrained("Sampreetha/opus-mt-fr-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eef0fc87b00652afe98443111744d5dc1c399612ca302531c042123e22f58dfd
- Size of remote file:
- 299 MB
- SHA256:
- a791a29fc2ab8a0bc4103fa3ce432bc9911c809d824fea62cc065d3726fb1801
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.