Instructions to use ML-ass/g2e_encoder_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ML-ass/g2e_encoder_decoder with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ML-ass/g2e_encoder_decoder") model = AutoModelForSeq2SeqLM.from_pretrained("ML-ass/g2e_encoder_decoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d533bef3f5764f85f5bf9f5b397b7cfe244e382902c8787baf15f534cd401bc
- Size of remote file:
- 1.07 GB
- SHA256:
- 40dec25d5c7433956f20d79da399b9d55b741cb4334ce7423000d71cf943d5bc
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