Instructions to use Nextcloud-AI/opus-mt-fi-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-fi-nl 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-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-fi-nl") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-fi-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a1fb89317e1062ef87f568c3000684d9a89e2aa84f8ef7f83e6d6539668d9c0
- Size of remote file:
- 301 MB
- SHA256:
- 9ab06637cbecda8c7636daab0c7a31d0a798970595c52a8350cf74cc2aa548a4
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