Instructions to use Helsinki-NLP/opus-mt-eu-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eu-es 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-eu-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eu-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eu-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ce91b7d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b55e6ab8ee02cc0d97f73767470ae1008519593bd1b13824b800aa20fa8a73cc
size 297844077
|