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:
# pip install -U transformers accelerate # 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
Training in progress, step 300
Browse files
pytorch_model.bin
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runs/Apr13_18-23-53_rogue/events.out.tfevents.1681435442.rogue.3067847.0
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