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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-opus-mt-en-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from michaelfeil/ct2fast-opus-mt-en-es: direct link, hf CLI and curl.
- Browser
- Download file 156 MB
-
https://huggingface.co/michaelfeil/ct2fast-opus-mt-en-es/resolve/main/model.bin
- Command line
-
hf download hf://michaelfeil/ct2fast-opus-mt-en-es/model.bin
-
curl -L -o model.bin https://huggingface.co/michaelfeil/ct2fast-opus-mt-en-es/resolve/main/model.bin
156 MB
- Xet hash:
- e5a96421743e0ac3d6df960e8636b5dca3fb24fbe47b56b3e50e145f12a83392
- Size of remote file:
- 156 MB
- SHA256:
- 36cd9bcb181fc6d5832deeaf770ce183ff4edbbc5e4fe0f86cec92da4379f3b7
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