Instructions to use victoriapl01/sensitive_spanish_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use victoriapl01/sensitive_spanish_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="victoriapl01/sensitive_spanish_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("victoriapl01/sensitive_spanish_classifier") model = AutoModelForSequenceClassification.from_pretrained("victoriapl01/sensitive_spanish_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from victoriapl01/sensitive_spanish_classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/victoriapl01/sensitive_spanish_classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://victoriapl01/sensitive_spanish_classifier/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/victoriapl01/sensitive_spanish_classifier/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- f71fd102c86cf48b6d1a30efd7d735c782ee48535cc53d03abb846a074fa2455
- Size of remote file:
- 3.06 kB
- SHA256:
- 302f1831ed5264a229f62a6fb696379ec2ad29dafdf0b22b0cab342943f31af2
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