Translation
Transformers
PyTorch
TensorFlow
JAX
Rust
t5
text-generation
summarization
text-generation-inference
Instructions to use baffo32/t5-base-ptmap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baffo32/t5-base-ptmap 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="baffo32/t5-base-ptmap")# Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("baffo32/t5-base-ptmap") model = AutoModelWithLMHead.from_pretrained("baffo32/t5-base-ptmap") - Notebooks
- Google Colab
- Kaggle
Commit History
ptmap f55711d
upload flax model 7590d91
allow flax 8bc4e15
allow flax 42c3477
allow flax d2707ad
update languages to include fr/ro/de 5a7ff2d
Migrate model card from transformers-repo 5886394
For clarity, delete deprecated modelcard.json 3422843
addition of Rust model c233b9a
Add tokenizer files 0610b4d
Julien Chaumond commited on