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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dd5d0f4e735f878bfd0d803c4455e44ba1ec3573c59b5b0c1969fcdae385e97
- Size of remote file:
- 892 MB
- SHA256:
- effb0d06380db9445a71a59885bb5006bf40eddd781b54a32da1efe0f154fc57
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