Instructions to use Nextcloud-AI/opus-mt-tr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-tr-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-tr-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-tr-en") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-tr-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 428d55fd0202e9a81ed2b14afeb8d6b47f5ee1e220fc6b666529f515f08fe4e0
- Size of remote file:
- 307 MB
- SHA256:
- e2b820f31c9348b0ae33d77ac23bd1686fa60a8afa0b9511bc7d9a35c125b534
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