Instructions to use WindyTranslate/translate-tl-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-tl-pt 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="WindyTranslate/translate-tl-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-tl-pt") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-tl-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-tl-pt, with attribution and change statement
c346d1e verified - Xet hash:
- 139724985281ae9061dcb51c06248ce6c886fb049e691dcd0286582ea3b6d172
- Size of remote file:
- 834 kB
- SHA256:
- 8b63cd6a4327561d47ed17f56e5d0fd49a707e78a56a9c8fda864888165971bb
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