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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("swardiantara/drone-term-extractor") model = AutoModelForTokenClassification.from_pretrained("swardiantara/drone-term-extractor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ee551f8f6aa42edbe655e4d0268205fb2460085083d63088baa191a52c50af0
- Size of remote file:
- 3.2 kB
- SHA256:
- e78006db9df8ae8ee6ee7a290b147e54d1517ba2b1cce1fbf56b9b16c51ebe0c
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