Instructions to use michaelfeil/ct2fast-opus-mt-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-opus-mt-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="michaelfeil/ct2fast-opus-mt-en-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-opus-mt-en-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
76ec296 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:36cd9bcb181fc6d5832deeaf770ce183ff4edbbc5e4fe0f86cec92da4379f3b7
size 155502501
|