Text Classification
Transformers
PyTorch
English
funding-extraction
arxiv
scholarly-communication
chunk-classification
modernbert
Instructions to use cometadata/funding-chunk-classifier-modernbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cometadata/funding-chunk-classifier-modernbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cometadata/funding-chunk-classifier-modernbert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cometadata/funding-chunk-classifier-modernbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Initial upload: ModernBERT-base chunk classifier (stage 1 of funding-extraction cascade)
f69ad93 verified Download tokenizer.json from cometadata/funding-chunk-classifier-modernbert-base: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
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https://huggingface.co/cometadata/funding-chunk-classifier-modernbert-base/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://cometadata/funding-chunk-classifier-modernbert-base@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cometadata/funding-chunk-classifier-modernbert-base/resolve/refs%2Fpr%2F1/tokenizer.json
3.58 MB
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