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")# 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
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "extra_special_tokens": [ | |
| "</mnt/sdcard/sandbox/AnyOfficeSDK/sdk/cffb628ad277b3e98d6e9ae9dceca2a7_AnyOfficeSDKMDMResult>", | |
| "</mnt/sdcard/sandbox/AnyOfficeSDK/sdk/e7ace0c2dd803111ba7ffcc997aec59f_AnyOfficeSDKMDMResult>", | |
| "<CLASS_NAME>", | |
| "<COMPOSITE_ID>", | |
| "<ERROR>", | |
| "<HAL>", | |
| "<HEX>", | |
| "<INFO>", | |
| "<IP>", | |
| "<MASKED_INFO>", | |
| "<MCI>", | |
| "<NA>", | |
| "<NUM>", | |
| "<SENSOR>", | |
| "<UUID>", | |
| "<init>" | |
| ], | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 8192, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "[UNK]" | |
| } | |