Instructions to use sapienzanlp/relik-reader-deberta-v3-large-aida with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sapienzanlp/relik-reader-deberta-v3-large-aida with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sapienzanlp/relik-reader-deberta-v3-large-aida", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sapienzanlp/relik-reader-deberta-v3-large-aida", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "activation": "gelu", | |
| "add_entity_embedding": null, | |
| "additional_special_symbols": 101, | |
| "additional_special_symbols_types": 0, | |
| "architectures": [ | |
| "RelikReaderSpanModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_relik.RelikReaderConfig", | |
| "AutoModel": "modeling_relik.RelikReaderSpanModel" | |
| }, | |
| "binary_end_logits": false, | |
| "default_reader_class": null, | |
| "entity_type_loss": false, | |
| "linears_hidden_size": 512, | |
| "model_type": "relik-reader", | |
| "num_layers": null, | |
| "torch_dtype": "float32", | |
| "training": true, | |
| "transformer_model": "microsoft/deberta-v3-large", | |
| "transformers_version": "4.33.3", | |
| "use_last_k_layers": 1 | |
| } | |