Instructions to use pax-k/privacy-filter-mini2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pax-k/privacy-filter-mini2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pax-k/privacy-filter-mini2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pax-k/privacy-filter-mini2") model = AutoModelForTokenClassification.from_pretrained("pax-k/privacy-filter-mini2") - Notebooks
- Google Colab
- Kaggle
File size: 822 Bytes
09a736f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"data_path": "pax-k/privacy-filter-mini-data",
"model": "answerdotai/ModernBERT-base",
"lr": 5e-05,
"epochs": 5,
"max_seq_length": 512,
"batch_size": 16,
"warmup_ratio": 0.1,
"gradient_accumulation": 1,
"optimizer": "adamw_torch",
"scheduler": "cosine",
"weight_decay": 0.0,
"max_grad_norm": 1.0,
"seed": 42,
"train_split": "train",
"valid_split": "validation",
"tokens_column": "tokens",
"tags_column": "tags",
"logging_steps": -1,
"project_name": "privacy-filter-mini2",
"auto_find_batch_size": false,
"mixed_precision": "fp16",
"save_total_limit": 1,
"push_to_hub": true,
"eval_strategy": "epoch",
"username": "pax-k",
"log": "tensorboard",
"early_stopping_patience": 5,
"early_stopping_threshold": 0.01
} |