Instructions to use nlplab/political-entity-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlplab/political-entity-recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nlplab/political-entity-recognizer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nlplab/political-entity-recognizer") model = AutoModelForTokenClassification.from_pretrained("nlplab/political-entity-recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nlplab/political-entity-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 407 MB
-
https://huggingface.co/nlplab/political-entity-recognizer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlplab/political-entity-recognizer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlplab/political-entity-recognizer/resolve/main/pytorch_model.bin
407 MB
- Xet hash:
- c5dc74267aeea66ba5981add0a26b06fc29c2b4d0c61cebecf83797184d05624
- Size of remote file:
- 407 MB
- SHA256:
- da4f66ea3d6028db3971343467d93d45f19df7a1e15e5aea3e1b9018a92cff5a
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