Instructions to use WindstormLabs/translate-pt-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pt-tl 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="WindstormLabs/translate-pt-tl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pt-tl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cd1228357fce7a5f321a8f7e303b53fbf6291ee5ba014c5fc37f98a3acd253c
- Size of remote file:
- 848 kB
- SHA256:
- 1b51ed92bfafcaae3bd200df0aa16b474bbc97879ec69db7f56af70cc16f5e39
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