Token Classification
SpanMarker
TensorBoard
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use nbroad/span-marker-xdistil-l12-h384-orgs-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use nbroad/span-marker-xdistil-l12-h384-orgs-v3 with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("nbroad/span-marker-xdistil-l12-h384-orgs-v3") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SpanMarkerModel" | |
| ], | |
| "encoder": { | |
| "_name_or_path": "microsoft/xtremedistil-l12-h384-uncased", | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bad_words_ids": null, | |
| "begin_suppress_tokens": null, | |
| "bos_token_id": null, | |
| "chunk_size_feed_forward": 0, | |
| "classifier_dropout": null, | |
| "cross_attention_hidden_size": null, | |
| "decoder_start_token_id": null, | |
| "diversity_penalty": 0.0, | |
| "do_sample": false, | |
| "early_stopping": false, | |
| "encoder_no_repeat_ngram_size": 0, | |
| "eos_token_id": null, | |
| "exponential_decay_length_penalty": null, | |
| "finetuning_task": null, | |
| "forced_bos_token_id": null, | |
| "forced_eos_token_id": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-ORG", | |
| "2": "I-ORG" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "is_decoder": false, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "B-ORG": 1, | |
| "I-ORG": 2, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "length_penalty": 1.0, | |
| "max_length": 20, | |
| "max_position_embeddings": 512, | |
| "min_length": 0, | |
| "model_type": "bert", | |
| "no_repeat_ngram_size": 0, | |
| "num_attention_heads": 12, | |
| "num_beam_groups": 1, | |
| "num_beams": 1, | |
| "num_hidden_layers": 12, | |
| "num_return_sequences": 1, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "output_scores": false, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "prefix": null, | |
| "problem_type": null, | |
| "pruned_heads": {}, | |
| "remove_invalid_values": false, | |
| "repetition_penalty": 1.0, | |
| "return_dict": true, | |
| "return_dict_in_generate": false, | |
| "sep_token_id": null, | |
| "suppress_tokens": null, | |
| "task_specific_params": null, | |
| "temperature": 1.0, | |
| "tf_legacy_loss": false, | |
| "tie_encoder_decoder": false, | |
| "tie_word_embeddings": true, | |
| "tokenizer_class": null, | |
| "top_k": 50, | |
| "top_p": 1.0, | |
| "torch_dtype": null, | |
| "torchscript": false, | |
| "transformers_version": "4.35.2", | |
| "type_vocab_size": 2, | |
| "typical_p": 1.0, | |
| "use_bfloat16": false, | |
| "use_cache": true, | |
| "vocab_size": 30528 | |
| }, | |
| "entity_max_length": 8, | |
| "id2label": { | |
| "0": "O", | |
| "1": "ORG" | |
| }, | |
| "id2reduced_id": { | |
| "0": 0, | |
| "1": 1, | |
| "2": 1 | |
| }, | |
| "label2id": { | |
| "O": 0, | |
| "ORG": 1 | |
| }, | |
| "marker_max_length": 128, | |
| "max_next_context": null, | |
| "max_prev_context": null, | |
| "model_max_length": 256, | |
| "model_max_length_default": 512, | |
| "model_type": "span-marker", | |
| "span_marker_version": "1.5.0", | |
| "torch_dtype": "float32", | |
| "trained_with_document_context": false, | |
| "transformers_version": "4.35.2", | |
| "vocab_size": 30528 | |
| } | |