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:
- 44ec341ff6435733a32f5c85a27c3c040f18983bf78694bf1da1cd43e95ba9bf
- Size of remote file:
- 790 kB
- SHA256:
- 9129bf81ef9d5fcc1797ea3061e789dc5f9e5602786b0490238d207d4219e0f5
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