Instructions to use seamusl/enga52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seamusl/enga52 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seamusl/enga52") model = AutoModelForSeq2SeqLM.from_pretrained("seamusl/enga52") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a2f272bad5098a36eabc26aeea805926de544ee47ea925366ffe28ef2cc784d
- Size of remote file:
- 6.69 GB
- SHA256:
- 7f12348ae79907d82587458f3f4c36c5290b5ea84532359a35f72a23e8c62089
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