Text Classification
Transformers
Safetensors
English
modernbert
legal
glam
digital-humanities
jim-crow
north-carolina
legislation
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use davanstrien/dhd-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/dhd-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/dhd-demo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/dhd-demo") model = AutoModelForSequenceClassification.from_pretrained("davanstrien/dhd-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from davanstrien/dhd-demo: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/davanstrien/dhd-demo/resolve/main/training_args.bin
- Command line
-
hf download hf://davanstrien/dhd-demo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/davanstrien/dhd-demo/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- 2cde14e6c0ff97b0f4ab7cb67388d2a3bb9ff6bbb7e54ee4c260a24a695b55ca
- Size of remote file:
- 5.33 kB
- SHA256:
- a70085aa8fb0500386c7a3cb1233c468470494ec491ca1c29ac239acb661492d
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