Instructions to use Splend1dchan/t5small-squad-extractive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/t5small-squad-extractive with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Splend1dchan/t5small-squad-extractive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Splend1dchan/t5small-squad-extractive: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/Splend1dchan/t5small-squad-extractive/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://Splend1dchan/t5small-squad-extractive@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Splend1dchan/t5small-squad-extractive/resolve/refs%2Fpr%2F2/tokenizer.json
2.42 MB
- Xet hash:
- 61b0891e80ba4ae7e67bc595231aeff6b64a6cac5817cad115f71d17c45c3389
- Size of remote file:
- 2.42 MB
- SHA256:
- 5f0ed8ab5b8cfa9812bb73752f1d80c292e52bcf5a87a144dc9ab2d251056cbb
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