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
Download tokenizer.json from enoriega/odinsynth_encoder_decoder_native_hf_test_2: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/enoriega/odinsynth_encoder_decoder_native_hf_test_2/resolve/57cb355b4bbbf72a7b78fc1ac00a3a12c8802cd4/tokenizer.json
- Command line
-
hf download hf://enoriega/odinsynth_encoder_decoder_native_hf_test_2@57cb355b4bbbf72a7b78fc1ac00a3a12c8802cd4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/enoriega/odinsynth_encoder_decoder_native_hf_test_2/resolve/57cb355b4bbbf72a7b78fc1ac00a3a12c8802cd4/tokenizer.json
711 kB
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