Text Classification
Transformers
ONNX
Safetensors
English
Portuguese
modernbert
feature-extraction
encoder
typed-decisions
decision-index
cpu
decision-model
text-embeddings-inference
Instructions to use Lukitaduarte/dinah-0-apache with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lukitaduarte/dinah-0-apache with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lukitaduarte/dinah-0-apache")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lukitaduarte/dinah-0-apache") model = AutoModel.from_pretrained("Lukitaduarte/dinah-0-apache", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 984 Bytes
3265ba1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
"format": "decision-ai/option-reader@1",
"name": "Dinah-0 Apache",
"license": "apache-2.0",
"homepage": "https://huggingface.co/Lukitaduarte/dinah-0-apache",
"files": {
"model": "onnx/model_8bit.onnx",
"tokenizer": "tokenizer.json"
},
"sha256": {
"onnx/model_8bit.onnx": "412e14a95c7cb8eb8a95feb9b0cbf4c05f9177418233be5010590d73923c7cf6",
"tokenizer.json": "edeac9e7b2f170022cefd1c7b396ebca3ac9c57f2f93604844cb7fb16b1a71ca"
},
"max_length": 8192,
"pad_multiple": 64,
"tokens": {
"cls": "[CLS]",
"sep": "[SEP]",
"pad": "[PAD]",
"option": "[OPT]"
},
"question_types": {
"noul": 0,
"choice": 1,
"score": 2
},
"noul_false_default": "The statement above is false.",
"inputs": {
"ids": "ids",
"pad_mask": "pad_mask",
"option_positions": "opt_positions",
"option_mask": "opt_mask",
"question_type": "qtype"
},
"outputs": {
"logits": "logits",
"confidence_logit": "conf_logit"
}
} |