Instructions to use davanstrien/finepdfs-edu-purpose-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use davanstrien/finepdfs-edu-purpose-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("davanstrien/finepdfs-edu-purpose-classifier") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
davanstrien HF Staff
Release selected document-purpose classifier and inference example
3055b70 verified Download modules.json from davanstrien/finepdfs-edu-purpose-classifier: direct link, hf CLI and curl.
- Browser
- Download file 413 Bytes
-
https://huggingface.co/davanstrien/finepdfs-edu-purpose-classifier/resolve/main/modules.json
- Command line
-
hf download hf://davanstrien/finepdfs-edu-purpose-classifier/modules.json
-
curl -L -o modules.json https://huggingface.co/davanstrien/finepdfs-edu-purpose-classifier/resolve/main/modules.json
413 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.base.modules.transformer.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling" | |
| }, | |
| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Normalize", | |
| "type": "sentence_transformers.base.modules.normalize.Normalize" | |
| } | |
| ] |