Transformers
TensorBoard
Safetensors
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use gs224/seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gs224/seq2seq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gs224/seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("gs224/seq2seq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f9c93916f874de63f1b000a6f4d44cfaabaa8c8c9138d78783d32b76ccf9d62
- Size of remote file:
- 1.63 GB
- SHA256:
- cc6dc2aea12064ebf52a01692ad90b3f95496a61951f87907485176ed4b0b185
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.