Instructions to use Devtrick/bert_nli_ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devtrick/bert_nli_ensemble with Transformers:
# Load model directly from transformers import BertNLIClassifier model = BertNLIClassifier.from_pretrained("Devtrick/bert_nli_ensemble", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 401 Bytes
893bd45 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"architectures": [
"BertNLIClassifier"
],
"dropout_prob": 0.1,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"model_type": "bert_nli_classifier",
"pretrained_model_name": "bert-base-uncased",
"torch_dtype": "float32",
"transformers_version": "4.50.2"
}
|