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:
# 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 training_args.bin from kssteven/T5-small-xsum-bild-aligned: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/kssteven/T5-small-xsum-bild-aligned/resolve/main/training_args.bin
- Command line
-
hf download hf://kssteven/T5-small-xsum-bild-aligned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kssteven/T5-small-xsum-bild-aligned/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- a31d4c626d65a29091d6dbc1f6450b5444a984eb3e7f743c4c772a18addf627a
- Size of remote file:
- 3.58 kB
- SHA256:
- cc8a29396bcce621aa11cf365959a0323012686ba2e8776afd91e85fa0a9fd6b
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