Instructions to use Nextcloud-AI/opus-mt-fi-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-fi-tr 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-fi-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-fi-tr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-fi-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a5d369afa5d884f02871f46ce09c9d7ee0036612be40892161d2d58422d313f
- Size of remote file:
- 302 MB
- SHA256:
- 538d07a93d7b4772382cafd086773131869c1dbc86268bf1a81c7d6803c7a6d4
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