Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use pedro1kroll/deberta-SQuAD_tax0.35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedro1kroll/deberta-SQuAD_tax0.35 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pedro1kroll/deberta-SQuAD_tax0.35")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pedro1kroll/deberta-SQuAD_tax0.35") model = AutoModelForSequenceClassification.from_pretrained("pedro1kroll/deberta-SQuAD_tax0.35", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 286 Bytes
5b095aa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"bos_token": "[CLS]",
"cls_token": "[CLS]",
"eos_token": "[SEP]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": {
"content": "[UNK]",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false
}
}
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