Instructions to use Nextcloud-AI/opus-mt-fr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/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="Nextcloud-AI/opus-mt-fr-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-fr-en") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-fr-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Nextcloud-AI/opus-mt-fr-en: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/Nextcloud-AI/opus-mt-fr-en/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Nextcloud-AI/opus-mt-fr-en/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Nextcloud-AI/opus-mt-fr-en/resolve/main/flax_model.msgpack
299 MB
- Xet hash:
- 69f1e28dde47e6c6b2d82023e177f9219e6ad238a70a8f05380283eb3f1ce31c
- Size of remote file:
- 299 MB
- SHA256:
- a791a29fc2ab8a0bc4103fa3ce432bc9911c809d824fea62cc065d3726fb1801
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