Instructions to use TBM99/distilbert-multi-label-conditional-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TBM99/distilbert-multi-label-conditional-Classification with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForConditionalClassification tokenizer = AutoTokenizer.from_pretrained("TBM99/distilbert-multi-label-conditional-Classification") model = DistilBertForConditionalClassification.from_pretrained("TBM99/distilbert-multi-label-conditional-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |