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 pytorch_model.bin from victoriapl01/sensitive_spanish_classifier: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/victoriapl01/sensitive_spanish_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://victoriapl01/sensitive_spanish_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/victoriapl01/sensitive_spanish_classifier/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 3276ab82fe1c95ded6846506cc27d08113234cf19604fa50bb3136c748268710
- Size of remote file:
- 499 MB
- SHA256:
- 4b872b48755ff1fa05db5ca521e0274f8a459fb149b02991c5461327daec3d1e
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