Translation
Transformers
PyTorch
Safetensors
m2m_100
text2text-generation
seq2seq
relation-extraction
Instructions to use Babelscape/mrebel-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babelscape/mrebel-base 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-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Babelscape/mrebel-base") model = AutoModelForSeq2SeqLM.from_pretrained("Babelscape/mrebel-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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{"<triplet>": 128112, "<relation>": 128113, "el_EL": 128114, "ca_XX": 128115, "tp_XX": 128116, "<loc>": 128117, "<misc>": 128118, "<per>": 128119, "<num>": 128120, "<time>": 128121, "<org>": 128122, "<date>": 128123, "<eve>": 128124, "<cel>": 128125, "<media>": 128126, "<dis>": 128127, "<concept>": 128128}
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{"<placeholder_0>": 128104, "<placeholder_1>": 128105, "<placeholder_2>": 128106, "<placeholder_3>": 128107, "<placeholder_4>": 128108, "<placeholder_5>": 128109, "<placeholder_6>": 128110, "<placeholder_7>": 128111, "<triplet>": 128112, "<relation>": 128113, "el_EL": 128114, "ca_XX": 128115, "tp_XX": 128116, "<loc>": 128117, "<misc>": 128118, "<per>": 128119, "<num>": 128120, "<time>": 128121, "<org>": 128122, "<date>": 128123, "<eve>": 128124, "<cel>": 128125, "<media>": 128126, "<dis>": 128127, "<concept>": 128128}
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