Instructions to use Babelscape/mrebel-large-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babelscape/mrebel-large-32 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="Babelscape/mrebel-large-32")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Babelscape/mrebel-large-32") model = AutoModelForSeq2SeqLM.from_pretrained("Babelscape/mrebel-large-32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce97e093ba59d3b54102d119ef516a909e5773f6be87065426381ec2c552ddf6
- Size of remote file:
- 2.44 GB
- SHA256:
- c7c125e8aafa70ada97bcc9676a4ae3b161e1d414cb02887ed011515578ef5f7
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