Token Classification
Transformers
PyTorch
English
funding-extraction
arxiv
scholarly-communication
span-extraction
modernbert
Instructions to use cometadata/funding-extraction-modernbert-base-spanhead with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cometadata/funding-extraction-modernbert-base-spanhead with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cometadata/funding-extraction-modernbert-base-spanhead")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cometadata/funding-extraction-modernbert-base-spanhead", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2da8f5bd4a2da13f06af6ab9ccc0d4203c0c8f6bf16791ee1a89facffb5aef87
- Size of remote file:
- 596 MB
- SHA256:
- 8a5f09370d87bf87db1fedb3502a17327b6eca1f6d34fc75b2187be1dde37bc0
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