Instructions to use Python/ACROSS-m2o-eng-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Python/ACROSS-m2o-eng-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Python/ACROSS-m2o-eng-base") model = AutoModelForSeq2SeqLM.from_pretrained("Python/ACROSS-m2o-eng-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 845d2ec4783638f339da9b8b383621ce569a339507e5942289707206299c333a
- Size of remote file:
- 2.33 GB
- SHA256:
- 0a5fbfe843951e5b9fb06740d6b6a36dcfc11de228059165d9956e675c2be64f
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