Transformers
PyTorch
Safetensors
English
t5
text2text-generation
seq2seq
positive_perspectives
text-generation-inference
Instructions to use dominguesm/positive-reframing-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dominguesm/positive-reframing-en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dominguesm/positive-reframing-en") model = AutoModelForSeq2SeqLM.from_pretrained("dominguesm/positive-reframing-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e09d2abbb1e5bc9a78da2934bdf79f3218d8072301816eb6cea43eb9deb69451
- Size of remote file:
- 892 MB
- SHA256:
- 885f96f22ef0cf7304ab6976cb9a390402edf567d7221d28cc752eb63e2a5780
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