Transformers
PyTorch
TensorBoard
encoder-decoder
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use enoriega/odinsynth_encoder_decoder_native_hf_test_2 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_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enoriega/odinsynth_encoder_decoder_native_hf_test_2") model = AutoModelForSeq2SeqLM.from_pretrained("enoriega/odinsynth_encoder_decoder_native_hf_test_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78148b5a974fba9fed1e7dc1d395722f4990578f75646f3dc0f8c64228b1ac7b
- Size of remote file:
- 990 MB
- SHA256:
- 173dc1033d77010364572ceb44081109fc1eebf42bf18652f845648452fc6d9b
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