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/encoder_model.onnx from ldenoue/Title_Generation_T5Small_Model: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/ldenoue/Title_Generation_T5Small_Model/resolve/main/onnx/encoder_model.onnx
- Command line
-
hf download hf://ldenoue/Title_Generation_T5Small_Model/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/ldenoue/Title_Generation_T5Small_Model/resolve/main/onnx/encoder_model.onnx
141 MB
- Xet hash:
- 003c450659e25b4af177a4e33b1e01f7d666f0fc8cae175ea78f2c870b59bca6
- Size of remote file:
- 141 MB
- SHA256:
- d671b4a6c889c21e15dbbe8b313a79f67647ab7aca280e640a4c72022c4a19c0
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