Transformers
PyTorch
English
t5
text2text-generation
keytotext
k2t
Keywords to Sentences
text-generation-inference
Instructions to use gagan3012/k2t-test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/k2t-test3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gagan3012/k2t-test3") model = AutoModelForSeq2SeqLM.from_pretrained("gagan3012/k2t-test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c85c27692c6621426324c80c6758f5853a54f342fe5eca5c66a3f7126813ea6
- Size of remote file:
- 242 MB
- SHA256:
- e81ffb3acf69348f3cf5ae1432874db00c65578a7ddcca68ac46e511516f4dfd
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