Instructions to use breadlicker45/test-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breadlicker45/test-class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="breadlicker45/test-class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("breadlicker45/test-class") model = AutoModelForSequenceClassification.from_pretrained("breadlicker45/test-class") - Notebooks
- Google Colab
- Kaggle
File size: 193 Bytes
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"bos_token": "<|startoftext|>",
"cls_token": "[CLS]",
"eos_token": "<|endoftext|>",
"mask_token": "[MASK]",
"pad_token": "<|pad|>",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
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