Translation
Transformers
PyTorch
Safetensors
English
Welsh
marian
text2text-generation
welsh
cymraeg
legislation
nmt
mt-models-api-name:legislation
Instructions to use techiaith/mt-dspec-legislation-en-cy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techiaith/mt-dspec-legislation-en-cy 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="techiaith/mt-dspec-legislation-en-cy")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("techiaith/mt-dspec-legislation-en-cy") model = AutoModelForSeq2SeqLM.from_pretrained("techiaith/mt-dspec-legislation-en-cy") - Notebooks
- Google Colab
- Kaggle
Commit History
Fix weight tying for transformers>=4.31 compatibility 8f1430c verified
Add transformers version constraint to pip install command (#4) 2ff1621 verified
Upload new version of all model files. a1587b5 verified
Upload new model version 9ab7558 verified
Added dummy dataset element to model-index to silence huggingface_hub model_info API warnings. 6897bcf verified
Added dataset element to metadata a9974cf verified
Adding `safetensors` variant of this model (#3) f418298
Update README.md 49b92b1
Language Technologies, Bangor University commited on