Instructions to use Nextcloud-AI/opus-mt-es-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-es-fi 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-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-es-fi") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-es-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d36b6eac7c281fdda7ada6bcec029fb542052b79ce923e710b73966838d1d86f
- Size of remote file:
- 309 MB
- SHA256:
- 0844d454fe5426c09ac8cc8a51db729a95a771076b7b8efbdaf582318dbce7ed
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