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
Download vocab.json from Babelscape/mrebel-base: direct link, hf CLI and curl.
- Browser
- Download file 3.71 MB
-
https://huggingface.co/Babelscape/mrebel-base/resolve/main/vocab.json
- Command line
-
hf download hf://Babelscape/mrebel-base/vocab.json
-
curl -L -o vocab.json https://huggingface.co/Babelscape/mrebel-base/resolve/main/vocab.json
3.71 MB
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