Zero-Shot Classification
Transformers
Safetensors
PyTorch
English
zero-shot
multi-label
text-classification
Instructions to use polodealvarado/polyencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polodealvarado/polyencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="polodealvarado/polyencoder")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("polodealvarado/polyencoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 322 Bytes
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"backend": "tokenizers",
"cls_token": "[CLS]",
"do_lower_case": true,
"is_local": false,
"mask_token": "[MASK]",
"model_max_length": 512,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
"unk_token": "[UNK]"
}
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