Translation
Transformers
TensorBoard
Safetensors
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en 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="sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en") model = AutoModelForMultimodalLM.from_pretrained("sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c6364ff1cb82c0cb9296ab158ac4af1db0a33d1d361445b4929aa67275f07f7
- Size of remote file:
- 5.37 kB
- SHA256:
- 7953effe1c1ac44dd340c1a0d725e12ccd03c710c0d38c3b6f3be100914ca037
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