Instructions to use Michau/t5-base-en-generate-headline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Michau/t5-base-en-generate-headline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Michau/t5-base-en-generate-headline") model = AutoModelForSeq2SeqLM.from_pretrained("Michau/t5-base-en-generate-headline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Michau/t5-base-en-generate-headline: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Michau/t5-base-en-generate-headline/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Michau/t5-base-en-generate-headline/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Michau/t5-base-en-generate-headline/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 4e6644c3af1bbeeb62fdaf2f560f43587d0f7012bd76d3be6453300536ddab96
- Size of remote file:
- 892 MB
- SHA256:
- 0b6757098828488caa2a6a5dda131be8d4f2b1c3c2cd4c25429c31ffc5d4a098
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