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:
- 698b658712e11d7bda34d657655cdee051396a5d2d626cab1e7d1eab5ffb9db5
- Size of remote file:
- 3.64 kB
- SHA256:
- 907c940ac85beec359b96c55bdcda9ec54fef07e9960f33b635fca1532347bdf
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