Token Classification
Transformers
PyTorch
Safetensors
English
bert
drone
drone forensics
named entity recognition
Instructions to use swardiantara/drone-term-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swardiantara/drone-term-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="swardiantara/drone-term-extractor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("swardiantara/drone-term-extractor") model = AutoModelForTokenClassification.from_pretrained("swardiantara/drone-term-extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (154fe5de4a4649823c88ae07c16707602cd2f43c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d544984
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