Zero-Shot Classification
Transformers
PyTorch
English
deberta-v2
text-classification
classification
information-extraction
zero-shot
Instructions to use knowledgator/comprehend_it-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/comprehend_it-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="knowledgator/comprehend_it-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knowledgator/comprehend_it-base") model = AutoModelForSequenceClassification.from_pretrained("knowledgator/comprehend_it-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 173 Bytes
fa2cdd7 | 1 2 3 4 5 6 7 8 9 10 | {
"bos_token": "[CLS]",
"cls_token": "[CLS]",
"eos_token": "[SEP]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
|