Instructions to use research-dump/tiny_bert_temp_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/tiny_bert_temp_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/tiny_bert_temp_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/tiny_bert_temp_classifier") model = AutoModelForSequenceClassification.from_pretrained("research-dump/tiny_bert_temp_classifier") - Notebooks
- Google Colab
- Kaggle
File size: 208 Bytes
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"additional_special_tokens": [
"<y>",
"</y>",
"<t>",
"</t>"
],
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
|