Instructions to use hfvladkon/bert_token_classification_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfvladkon/bert_token_classification_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hfvladkon/bert_token_classification_detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hfvladkon/bert_token_classification_detector") model = AutoModelForTokenClassification.from_pretrained("hfvladkon/bert_token_classification_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from hfvladkon/bert_token_classification_detector: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/hfvladkon/bert_token_classification_detector/resolve/main/config.json
- Command line
-
hf download hf://hfvladkon/bert_token_classification_detector/config.json
-
curl -L -o config.json https://huggingface.co/hfvladkon/bert_token_classification_detector/resolve/main/config.json
3.63 kB
| { | |
| "activation_function": "gelu", | |
| "allow_embedding_resizing": true, | |
| "architectures": [ | |
| "ModernBertForTokenClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attention_layer": "rope", | |
| "attention_probs_dropout_prob": 0.0, | |
| "attn_out_bias": false, | |
| "attn_out_dropout_prob": 0.1, | |
| "attn_qkv_bias": false, | |
| "bert_layer": "prenorm", | |
| "bos_token_id": 50281, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "cls", | |
| "cls_token_id": 50281, | |
| "compile_model": true, | |
| "decoder_bias": true, | |
| "defect_label_names": [ | |
| "O", | |
| "BAD-script", | |
| "TAIL-script", | |
| "BAD-grammar", | |
| "TAIL-grammar" | |
| ], | |
| "defect_threshold": [ | |
| 0.5, | |
| 0.9 | |
| ], | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embed_dropout_prob": 0.0, | |
| "embed_norm": true, | |
| "embedding_dropout": 0.0, | |
| "embedding_layer": "sans_pos", | |
| "eos_token_id": 50282, | |
| "final_norm": true, | |
| "global_attn_every_n_layers": 3, | |
| "head_pred_act": "gelu", | |
| "hidden_act": "gelu", | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "BAD-script", | |
| "2": "TAIL-script", | |
| "3": "BAD-grammar", | |
| "4": "TAIL-grammar" | |
| }, | |
| "init_method": "full_megatron", | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "label2id": { | |
| "BAD-grammar": 3, | |
| "BAD-script": 1, | |
| "O": 0, | |
| "TAIL-grammar": 4, | |
| "TAIL-script": 2 | |
| }, | |
| "layer_types": [ | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "local_attention": 256, | |
| "local_attn_rotary_emb_base": 10000.0, | |
| "loss_function": "fa_cross_entropy", | |
| "loss_kwargs": { | |
| "reduction": "mean" | |
| }, | |
| "masked_prediction": true, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "mlp_dropout_prob": 0.0, | |
| "mlp_in_bias": false, | |
| "mlp_layer": "glu", | |
| "mlp_out_bias": false, | |
| "model_type": "modernbert", | |
| "native_text_input": true, | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "norm_kwargs": { | |
| "bias": false, | |
| "eps": 1e-05 | |
| }, | |
| "normalization": "layernorm", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 50283, | |
| "padding": "unpadded", | |
| "prompt_format": "[CLS] query [SEP] decoded answer text [SEP]", | |
| "repad_logits_with_grad": false, | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "rotary_emb_base": 160000.0, | |
| "rotary_emb_dim": null, | |
| "rotary_emb_interleaved": false, | |
| "rotary_emb_scale_base": null, | |
| "sep_token_id": 50282, | |
| "skip_first_prenorm": true, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.16.1", | |
| "unpad_embeddings": true, | |
| "use_cache": false, | |
| "vocab_size": 50368, | |
| "defect_threshold_val": [ | |
| 0.99, | |
| 0.98 | |
| ], | |
| "defect_threshold_note": "[script, grammar]; tuned on out-of-fold CV predictions (validation-tuned value in defect_threshold_val)", | |
| "tagger_max_len": 2048, | |
| "tagger_stride": 256 | |
| } |