Instructions to use superspray/distilbert_base_squad2_custom_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superspray/distilbert_base_squad2_custom_dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="superspray/distilbert_base_squad2_custom_dataset")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("superspray/distilbert_base_squad2_custom_dataset") model = AutoModelForQuestionAnswering.from_pretrained("superspray/distilbert_base_squad2_custom_dataset") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "special_tokens_map_file": "/root/.cache/torch/transformers/112632b7c7669e4ebb3bbda33d84526efe839633b66db00007aa1e616521262f.275045728fbf41c11d3dae08b8742c054377e18d92cc7b72b6351152a99b64e4", "tokenizer_file": null, "name_or_path": "superspray/distilbert_base_squad2_custom_dataset"} |