Transformers
PyTorch
English
t5
text2text-generation
keytotext
k2t-tiny
Keywords to Sentences
text-generation-inference
Instructions to use gagan3012/k2t-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/k2t-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gagan3012/k2t-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("gagan3012/k2t-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gagan3012/k2t-tiny: direct link, hf CLI and curl.
- Browser
- Download file 8.87 MB
-
https://huggingface.co/gagan3012/k2t-tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gagan3012/k2t-tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gagan3012/k2t-tiny/resolve/main/pytorch_model.bin
8.87 MB
- Xet hash:
- cee3a8e3a9cf61743151f58f69b7febb264b8452d669dfd6f76e328076160fb9
- Size of remote file:
- 8.87 MB
- SHA256:
- 1bb97769599f3ceff7ff4125444cd560b145c873126632383a8122d052280b1c
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