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:
- 27c9ac4e028097952f1c755a98206c2ce148a6c52e4b5d60a4407e8a2771b743
- Size of remote file:
- 95.8 MB
- SHA256:
- 18fbc124237d0f6236d31fcfc5e7705562731445b1b1efc7b538e1538f5d08b6
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