Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Cross-lingual-nlp
zero-shot-transfer
toxicity-analysis
abuse-detection
flag-user
block-user
multilinguality
XLM-R
Instructions to use Jayveersinh-Raj/PolyGuard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayveersinh-Raj/PolyGuard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jayveersinh-Raj/PolyGuard")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jayveersinh-Raj/PolyGuard") model = AutoModelForSequenceClassification.from_pretrained("Jayveersinh-Raj/PolyGuard") - Notebooks
- Google Colab
- Kaggle
Commit Β·
ae53760
1
Parent(s): dbaf6b4
Pytorch model files
Browse files- pytorch_cross_lingual_model/config.json β config.json +0 -0
- pytorch_cross_lingual_model/pytorch_model.bin β pytorch_model.bin +0 -0
- pytorch_cross_lingual_model/sentencepiece.bpe.model β sentencepiece.bpe.model +0 -0
- pytorch_cross_lingual_model/special_tokens_map.json β special_tokens_map.json +0 -0
- pytorch_cross_lingual_model/tokenizer_config.json β tokenizer_config.json +0 -0
pytorch_cross_lingual_model/config.json β config.json
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pytorch_cross_lingual_model/pytorch_model.bin β pytorch_model.bin
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pytorch_cross_lingual_model/sentencepiece.bpe.model β sentencepiece.bpe.model
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pytorch_cross_lingual_model/special_tokens_map.json β special_tokens_map.json
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pytorch_cross_lingual_model/tokenizer_config.json β tokenizer_config.json
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