Instructions to use Aleton/en-be-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aleton/en-be-translator 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="Aleton/en-be-translator")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aleton/en-be-translator") model = AutoModelForSeq2SeqLM.from_pretrained("Aleton/en-be-translator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46c94d83b1fc9c20245093fad129b3e5d809220aba4ac3520fc4aacb4fd96fdf
- Size of remote file:
- 707 kB
- SHA256:
- 6a0a52318dac3247455ec889eb3bd8da9bdf234974be8b9b0f99ad5378f474c9
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