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:
- 048f5d01f41ec77b9d21d6f9a2f74bcb00f732632b6b65b44b2007a6007c66b9
- Size of remote file:
- 892 MB
- SHA256:
- ce0d107670b05c104f606fe6aca353bf17be0e58c24b683b8e44163336dbf68d
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