Instructions to use Nextcloud-AI/opus-mt-fi-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-fi-zh 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-zh")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-fi-zh") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-fi-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66d4b13642be5efa768a558822d63a7004035273e8001e8fda4fd7f04bcc5cd4
- Size of remote file:
- 308 MB
- SHA256:
- 08bc6c155348acd5ab4b12c8d2c9815be8f468a1d2c4fbf2fe227917b6baf093
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