Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Safetensors
t5
text2text-generation
text-generation-inference
Instructions to use JustAPR/resGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustAPR/resGen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JustAPR/resGen") model = AutoModelForSeq2SeqLM.from_pretrained("JustAPR/resGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8364fc7efc488552b69c8d907c058afbaadc7eb6d4bbab4558e0626fd51d84ef
- Size of remote file:
- 146 MB
- SHA256:
- 479d8789478d92caafa5f31c7c6dbe0fbe55deb34fb0bda72fe410b77a914427
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