bertelsmannstift/oja_education_extraction
By bertelsmannstift · ↓ 0 · ♥ 0 · Updated 2025-08-13
What's in this repo
This page lists the files in bertelsmannstift/oja_education_extraction, including quantized_true.onnx, quantized_false.onnx and more.
- 3 ONNX models (.onnx files)
- 102 files, including 35 .json, 8 .cfg, 4 .bin, 4 .npy, 4 .py, 3 .md
- Last updated 2025-08-13
ONNX files
| File | Size | Download |
|---|---|---|
| models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/quantized_true.onnx | — | Download |
| models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/quantized_false.onnx | — | Download |
| models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/quantized_true.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
No README provided by the author.
Model info
text-classification
spacy
spacy
onnx
safetensors
text-classification
de
license:other
region:us
↓ 0
♥ 0
Created: 2022-12-15
Updated: 2025-08-13
View on Hugging FaceFiles (102)
.gitattributes
.gitignore
README.md
assets/map_education_level_isced.json
assets/ontology_education_level_raw.json
assets/ontology_education_studies.json
assets/ontology_education_vocational.json
assets/patterns_education_level.json
assets/patterns_education_level_raw.json
config.cfg
meta.json
models/localization/config.cfg
models/localization/meta.json
models/localization/ner/cfg
models/localization/ner/model
models/localization/ner/moves
models/localization/tok2vec/cfg
models/localization/tok2vec/model
models/localization/tokenizer
models/localization/vocab/key2row
models/localization/vocab/lookups.bin
models/localization/vocab/strings.json
models/localization/vocab/vectors
models/localization/vocab/vectors.cfg
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/1_Pooling/config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/README.md
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/config_sentence_transformers.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/model.safetensors
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/modules.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/quantized_true.onnx
ONNX
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/sentence_bert_config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/special_tokens_map.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/tokenizer.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/tokenizer_config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-studies/unigram.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/1_Pooling/config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/README.md
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/config_sentence_transformers.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/model.safetensors
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/modules.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/quantized_false.onnx
ONNX
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/quantized_true.onnx
ONNX
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/sentence_bert_config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/special_tokens_map.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/tokenizer.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/tokenizer_config.json
models/pretrained/paraphrase-multilingual-MiniLM-L12-finetuned-vocational/unigram.json
models/studies/config.cfg
models/studies/meta.json
models/studies/ner/cfg
models/studies/ner/model
models/studies/ner/moves
models/studies/sbert_entity_classifier/X.npy
models/studies/sbert_entity_classifier/examples.json
models/studies/sbert_entity_classifier/model.pkl
models/studies/sbert_entity_classifier/y.npy
models/studies/sbert_study_classifier/examples.json
models/studies/sbert_study_classifier/model.pkl
models/studies/tok2vec/cfg
models/studies/tok2vec/model
models/studies/tokenizer
models/studies/vocab/key2row
models/studies/vocab/lookups.bin
models/studies/vocab/strings.json
models/studies/vocab/vectors
models/studies/vocab/vectors.cfg
models/vocational/config.cfg
models/vocational/meta.json
models/vocational/ner/cfg
models/vocational/ner/model
models/vocational/ner/moves
models/vocational/sbert_entity_classifier/X.npy
models/vocational/sbert_entity_classifier/examples.json
models/vocational/sbert_entity_classifier/model.pkl
models/vocational/sbert_entity_classifier/y.npy
models/vocational/tok2vec/cfg
models/vocational/tok2vec/model
models/vocational/tokenizer
models/vocational/vocab/key2row
models/vocational/vocab/lookups.bin
models/vocational/vocab/strings.json
models/vocational/vocab/vectors
models/vocational/vocab/vectors.cfg
ner/cfg
ner/model
ner/moves
pipeline.py
poetry.lock
pyproject.toml
test_oja_education_extraction.py
tok2vec/cfg
tok2vec/model
tokenizer
util/match_labels.py
util/sbert_entity_classifier.py
vocab/key2row
vocab/lookups.bin
vocab/strings.json
vocab/vectors
vocab/vectors.cfg
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