Instructions to use p1atdev/saikyou-shield-30m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p1atdev/saikyou-shield-30m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="p1atdev/saikyou-shield-30m")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("p1atdev/saikyou-shield-30m") model = AutoModelForSequenceClassification.from_pretrained("p1atdev/saikyou-shield-30m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from p1atdev/saikyou-shield-30m: direct link, hf CLI and curl.
- Browser
- Download file 1.83 MB
-
https://huggingface.co/p1atdev/saikyou-shield-30m/resolve/main/tokenizer.model
- Command line
-
hf download hf://p1atdev/saikyou-shield-30m/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/p1atdev/saikyou-shield-30m/resolve/main/tokenizer.model
1.83 MB
- Xet hash:
- 729f4b16b24503bb73c26083537538159ba3b17dbe0d2abace9b7e15b166d281
- Size of remote file:
- 1.83 MB
- SHA256:
- 008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
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