Instructions to use entity2260/opus_en_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entity2260/opus_en_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="entity2260/opus_en_es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entity2260/opus_en_es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("entity2260/opus_en_es", dtype="auto")Quick Links
Configuration Parsing Warning:Invalid JSON for config file config.json
Configuration Parsing Warning:Invalid JSON for config file tokenizer_config.json
eng-spa
source group: English
target group: Spanish
OPUS readme: eng-spa
model: transformer
source language(s): eng
target language(s): spa
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus-2020-08-18.zip
test set translations: opus-2020-08-18.test.txt
test set scores: opus-2020-08-18.eval.txt
- Downloads last month
- 1
# 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="entity2260/opus_en_es")