Instructions to use medodeyaa/dentor-helsinki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medodeyaa/dentor-helsinki 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="medodeyaa/dentor-helsinki")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("medodeyaa/dentor-helsinki") model = AutoModelForSeq2SeqLM.from_pretrained("medodeyaa/dentor-helsinki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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### eng-ara
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* source group: English
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language:
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license: apache-2.0
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pipeline_tag: translation
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- translation
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inference: true
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widget:
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- text: "The patient has periapical abscess and requires root canal treatment."
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### eng-ara
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* source group: English
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