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")# 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 code/__pycache__/native_adapter.cpython-312.pyc from hfvladkon/bert_token_classification_detector: direct link, hf CLI and curl.
- Browser
- Download file 10.3 kB
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https://huggingface.co/hfvladkon/bert_token_classification_detector/resolve/main/code/__pycache__/native_adapter.cpython-312.pyc
- Command line
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hf download hf://hfvladkon/bert_token_classification_detector/code/__pycache__/native_adapter.cpython-312.pyc
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curl -L -o native_adapter.cpython-312.pyc https://huggingface.co/hfvladkon/bert_token_classification_detector/resolve/main/code/__pycache__/native_adapter.cpython-312.pyc
10.3 kB
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