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:
- e688d36de0d785099bd7bd6586b2e754da76cf4515409c416c868dace89f4dfa
- Size of remote file:
- 834 kB
- SHA256:
- fbbf7e12691498b6f554734d002c58fb1a3d6a6090bf75bada21b361a3af808e
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