Instructions to use kssteven/T5-small-xsum-bild-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-small-xsum-bild-aligned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-small-xsum-bild-aligned") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-small-xsum-bild-aligned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kssteven/T5-small-xsum-bild-aligned: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/kssteven/T5-small-xsum-bild-aligned/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kssteven/T5-small-xsum-bild-aligned/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kssteven/T5-small-xsum-bild-aligned/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 1d3352fb9d6cc6b4af5ec21e362eb0f7f237798efda9491637ede5e42740da51
- Size of remote file:
- 242 MB
- SHA256:
- a9432f7960eaaf31de97ddba0c5ba1283adbd2bcc65a2cb843a85f73fe4d8211
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