Instructions to use Helsinki-NLP/opus-mt-afa-afa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-afa-afa 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="Helsinki-NLP/opus-mt-afa-afa")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-afa-afa") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-afa-afa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dbe6861b30adcc45cdad004474db57cdce6d51083a1e5070f390938adb088b9
- Size of remote file:
- 248 MB
- SHA256:
- 6734a829d3e9a9b63a45b437c39a561710b4c508db6c243c9accbb3ef2a2fb41
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