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:
- 1d092f275646c9ff7e53a9480102ec1e5a04d250aeb921569aa720c110fdb2a9
- Size of remote file:
- 892 MB
- SHA256:
- 637cc03a65c7ab9b1798e0ea03e6cd3909e278b1e441b2bc85a6eb3380607919
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