Text Classification
Transformers
Safetensors
English
modernbert
log-analysis
severity-classification
aiops
observability
Eval Results (legacy)
text-embeddings-inference
Instructions to use hazemkhaled-94/modernlogbert-wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hazemkhaled-94/modernlogbert-wce with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hazemkhaled-94/modernlogbert-wce")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hazemkhaled-94/modernlogbert-wce") model = AutoModelForSequenceClassification.from_pretrained("hazemkhaled-94/modernlogbert-wce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from hazemkhaled-94/modernlogbert-wce: direct link, hf CLI and curl.
- Browser
- Download file 2.56 kB
-
https://huggingface.co/hazemkhaled-94/modernlogbert-wce/resolve/main/config.json
- Command line
-
hf download hf://hazemkhaled-94/modernlogbert-wce/config.json
-
curl -L -o config.json https://huggingface.co/hazemkhaled-94/modernlogbert-wce/resolve/main/config.json
2.56 kB
| { | |
| "architectures": [ | |
| "ModernBertForSequenceClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 50281, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "mean", | |
| "cls_token_id": 50281, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "eos_token_id": 50282, | |
| "global_attn_every_n_layers": 3, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "TRACE", | |
| "1": "DEBUG", | |
| "2": "INFO", | |
| "3": "WARN", | |
| "4": "ERROR", | |
| "5": "FATAL" | |
| }, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "label2id": { | |
| "ALERT": 5, | |
| "CRIT": 5, | |
| "CRITICAL": 5, | |
| "D": 1, | |
| "DBG": 1, | |
| "DEBUG": 1, | |
| "DPANIC": 5, | |
| "E": 4, | |
| "EMERG": 5, | |
| "EMERGENCY": 5, | |
| "ERR": 4, | |
| "ERROR": 4, | |
| "F": 5, | |
| "FATAL": 5, | |
| "FINE": 1, | |
| "FINER": 1, | |
| "FINEST": 1, | |
| "I": 2, | |
| "INFO": 2, | |
| "NOTICE": 2, | |
| "PANIC": 5, | |
| "SEVERE": 4, | |
| "T": 0, | |
| "TRACE": 0, | |
| "V": 0, | |
| "VERB": 0, | |
| "VERBOSE": 0, | |
| "W": 3, | |
| "WARN": 3, | |
| "WARNING": 3, | |
| "WRN": 3 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "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": 128, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 50283, | |
| "position_embedding_type": "absolute", | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sep_token_id": 50282, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.7.0", | |
| "use_cache": false, | |
| "vocab_size": 50384 | |
| } | |