Transformers
PyTorch
TensorBoard
encoder-decoder
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use enoriega/odinsynth_encoder_decoder_native_hf_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enoriega/odinsynth_encoder_decoder_native_hf_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enoriega/odinsynth_encoder_decoder_native_hf_test") model = AutoModelForSeq2SeqLM.from_pretrained("enoriega/odinsynth_encoder_decoder_native_hf_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2993f3d6ef477952df959c467960c6eed76f87c49082dc10df6268f525529cac
- Size of remote file:
- 3.64 kB
- SHA256:
- dc5c84a24797ab7b4287eee2cb5a9a571ae889894328113cc8784148bbe08825
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