Instructions to use Nextcloud-AI/opus-mt-it-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-it-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-it-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-it-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-it-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 438a0bd6e32c4887a59bdfe91796b752d3352b5ee27614839ee8e095f7f70fa4
- Size of remote file:
- 300 MB
- SHA256:
- 302cad20b757c151c121fc49c6d696e87805638e72ee1f445d7f9c538534e672
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