Instructions to use knkarthick/t5-small-medium-title-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knkarthick/t5-small-medium-title-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("knkarthick/t5-small-medium-title-generation") model = AutoModelForSeq2SeqLM.from_pretrained("knkarthick/t5-small-medium-title-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from knkarthick/t5-small-medium-title-generation: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/knkarthick/t5-small-medium-title-generation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://knkarthick/t5-small-medium-title-generation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/knkarthick/t5-small-medium-title-generation/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 2de6bcfdb34dcf0602f52836c19cf5ecfd509135ce3e1903070d598f483e04ca
- Size of remote file:
- 242 MB
- SHA256:
- fd669d158470e0474a9ebaff32104aa577d283634f45695353896aa2a954118d
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