Instructions to use Helsinki-NLP/opus-mt-es-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-war 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-es-war")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-war") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-war", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e79608baa1a3a934fac0e6b6c5bb1691f4bb3110a165d0cbbcd73cf0744f032
- Size of remote file:
- 302 MB
- SHA256:
- 3b7ef47b207839a0bde5e8b5dc29775213dfbb29f456c5abc0c5d95d03eefd3d
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