Instructions to use Python/ACROSS-m2o-eng-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Python/ACROSS-m2o-eng-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Python/ACROSS-m2o-eng-small") model = AutoModelForSeq2SeqLM.from_pretrained("Python/ACROSS-m2o-eng-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ea889a264f06b488fcb8ff3eb09fb3372d0095b5e0a3b5c4297a19b7638b1e6
- Size of remote file:
- 1.2 GB
- SHA256:
- e0f6065e7602fe59aa930391b47a2c49f8f8f9494399ff23700eaaa664cf06d5
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