Instructions to use Xilixmeaty40/sad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xilixmeaty40/sad with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xilixmeaty40/sad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Xilixmeaty40/sad: direct link, hf CLI and curl.
- Browser
- Download file 653 Bytes
-
https://huggingface.co/Xilixmeaty40/sad/resolve/main/tokenizer.json
- Command line
-
hf download hf://Xilixmeaty40/sad/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Xilixmeaty40/sad/resolve/main/tokenizer.json
653 Bytes
- Xet hash:
- 72402a056aea6b79aac2e9384629950a87e1366990aa3bd06130a0ea31793409
- Size of remote file:
- 653 Bytes
- SHA256:
- e19170176bab4dc23cd3908e7b53909cdf52d0ccef8698d29d1249c1bcea133b
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