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 eval/args.json from hfvladkon/bert_token_classification_detector: direct link, hf CLI and curl.
- Browser
- Download file 908 Bytes
-
https://huggingface.co/hfvladkon/bert_token_classification_detector/resolve/main/eval/args.json
- Command line
-
hf download hf://hfvladkon/bert_token_classification_detector/eval/args.json
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curl -L -o args.json https://huggingface.co/hfvladkon/bert_token_classification_detector/resolve/main/eval/args.json
908 Bytes
| { | |
| "data": "/home/vladigur/qwen-bert-tagger-20260919/data/mix_v2_grammar", | |
| "out": "/home/vladigur/qwen-bert-tagger-20260919/runs/NF2_native_mbert_final_overlap", | |
| "base": "deepvk/RuModernBERT-base", | |
| "qwen_tokenizer": "/home/vladigur/qwen-bert-tagger-20260919/assets/qwen_tokenizer", | |
| "mapped_cache": "/home/vladigur/qwen-bert-tagger-20260919/cache/mapped_rumodernbert_base.safetensors", | |
| "freeze_embeddings": "False", | |
| "lr_emb": "None", | |
| "max_len": "2048", | |
| "stride": "256", | |
| "epochs": "6.0", | |
| "max_steps": "-1", | |
| "lr": "3e-05", | |
| "batch": "8", | |
| "grad_accum": "1", | |
| "class_weights": "None", | |
| "grouped": "True", | |
| "synth_weight": "0.3", | |
| "no_synth": "False", | |
| "no_corrected": "False", | |
| "only_synth": "False", | |
| "init_from": "/home/vladigur/qwen-bert-tagger-20260919/runs/NS1_native_mbert_stage1_wiki_e3/final", | |
| "eval_limit": "None", | |
| "select": "overlap_f1", | |
| "seed": "13", | |
| "attn": "sdpa", | |
| "arch": "native" | |
| } |