Instructions to use ldenoue/Title_Generation_T5Small_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldenoue/Title_Generation_T5Small_Model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ldenoue/Title_Generation_T5Small_Model") model = AutoModelForSeq2SeqLM.from_pretrained("ldenoue/Title_Generation_T5Small_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model.onnx from ldenoue/Title_Generation_T5Small_Model: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/ldenoue/Title_Generation_T5Small_Model/resolve/main/onnx/decoder_model.onnx
- Command line
-
hf download hf://ldenoue/Title_Generation_T5Small_Model/onnx/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/ldenoue/Title_Generation_T5Small_Model/resolve/main/onnx/decoder_model.onnx
167 MB
- Xet hash:
- 28351dd646df6a70ecababbdb8db8d44e25e53c9b8df5d0b432cb7dc12789165
- Size of remote file:
- 167 MB
- SHA256:
- 88382e15fa8551b4ab6645dd4ef58efa04e3a28c828e016452b1bfe86d776d20
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