Transformers
PyTorch
TensorFlow
JAX
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use fabiochiu/t5-base-medium-title-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fabiochiu/t5-base-medium-title-generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fabiochiu/t5-base-medium-title-generation") model = AutoModelForSeq2SeqLM.from_pretrained("fabiochiu/t5-base-medium-title-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from fabiochiu/t5-base-medium-title-generation: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/fabiochiu/t5-base-medium-title-generation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://fabiochiu/t5-base-medium-title-generation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fabiochiu/t5-base-medium-title-generation/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 2d1043ff43568f664da977cdc61eea9522f8fd5784719341a268eae3099509c0
- Size of remote file:
- 892 MB
- SHA256:
- 4f08143a284fc4b487df8bbca3cff14339ed1566412fd8eeca5c0809f27151bf
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