Instructions to use de-slothbug/t5gemma-ss-metadata-extractor-v2-backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use de-slothbug/t5gemma-ss-metadata-extractor-v2-backup with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("de-slothbug/t5gemma-ss-metadata-extractor-v2-backup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from de-slothbug/t5gemma-ss-metadata-extractor-v2-backup: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/de-slothbug/t5gemma-ss-metadata-extractor-v2-backup/resolve/main/tokenizer.json
- Command line
-
hf download hf://de-slothbug/t5gemma-ss-metadata-extractor-v2-backup/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/de-slothbug/t5gemma-ss-metadata-extractor-v2-backup/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 257101d3d0480ff2b03fc58a9eaf82511489c58db0775333e1d25d6e762e7ed7
- Size of remote file:
- 34.4 MB
- SHA256:
- 7794135caa3ea73918949c902a781cc61dab674a4b59c17d85931c77c1114cbd
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