Instructions to use Babelscape/mrebel-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babelscape/mrebel-large 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Babelscape/mrebel-large") model = AutoModelForSeq2SeqLM.from_pretrained("Babelscape/mrebel-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 814d47effcfe33e12d397ede61242c5cc4582d50ab369328140195a1f4dc33a2
- Size of remote file:
- 2.44 GB
- SHA256:
- e92b81d39d3676a330212f02db8ef3183237780d1889883d9e4fbec701c932f4
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