Instructions to use Helsinki-NLP/opus-mt-kab-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-kab-en 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-kab-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-kab-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-kab-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d914223f70c9463fee1023db42cb304ab291ab9598979f6acb8c3de81b7a17f
- Size of remote file:
- 227 MB
- SHA256:
- 9594d156f7a5b76eeca234a029f0e0ca2f5b6e606085a3213bd409200373f5e9
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