Instructions to use Nextcloud-AI/opus-mt-es-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-es-it 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-es-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-es-it") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-es-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 369f67a5bdb43b1fea876997fe14cd22d0f8afcbeef4097b6ef751c66ee0ab69
- Size of remote file:
- 300 MB
- SHA256:
- 836244f7c137264c396d23277720365bfba2d705de9b965acbcc4ed7065ec088
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