Transformers
PyTorch
Safetensors
English
bart
text2text-generation
seq2seq
relation-extraction
Eval Results (legacy)
Instructions to use Babelscape/rebel-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babelscape/rebel-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Babelscape/rebel-large") model = AutoModelForSeq2SeqLM.from_pretrained("Babelscape/rebel-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55c0b1c8c6287432e16d71adf965f00b27785f0c00ec24a8d441a3d1d8e86133
- Size of remote file:
- 1.63 GB
- SHA256:
- 407feb8d55cae8ee077aa032a4aab5577a5503f910d090593626ebd6fccb6cff
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