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
Download pytorch_model.bin from swardiantara/drone-term-extractor: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/swardiantara/drone-term-extractor/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://swardiantara/drone-term-extractor/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/swardiantara/drone-term-extractor/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- a725c8cd6d838f601bd3c83f3f3f32c39fe118c30d20d773ca2dd3955c31de49
- Size of remote file:
- 431 MB
- SHA256:
- c3b7b620982dcdbbc609778bf7c089aae9a996e62f605a34eb34944742a3a9fc
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