Instructions to use willem640/grc_grammateus_classifier_documentary_greberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use willem640/grc_grammateus_classifier_documentary_greberta with spaCy:
!pip install https://huggingface.co/willem640/grc_grammateus_classifier_documentary_greberta/resolve/main/grc_grammateus_classifier_documentary_greberta-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("grc_grammateus_classifier_documentary_greberta") # Importing as module. import grc_grammateus_classifier_documentary_greberta nlp = grc_grammateus_classifier_documentary_greberta.load() - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - spacy | |
| - text-classification | |
| language: | |
| - grc | |
| model-index: | |
| - name: grc_grammateus_classifier_documentary_greberta | |
| results: [] | |
| license: cc-by-4.0 | |
| datasets: | |
| - willem640/MAAT_documentary_with_DDbDP_and_HGV_metadata | |
| base_model: | |
| - bowphs/GreBerta | |
| library_name: spacy | |
| | Feature | Description | | |
| | --- | --- | | |
| | **Name** | `grc_grammateus_classifier_documentary_greberta` | | |
| | **Version** | `0.0.0` | | |
| | **spaCy** | `>=3.8.7,<3.9.0` | | |
| | **Default Pipeline** | `transformer`, `textcat` | | |
| | **Components** | `transformer`, `textcat` | | |
| | **License** | CC-BY-4.0 | | |
| | **Author** | willem640 | | |
| ### Label Scheme | |
| <details> | |
| <summary>View label scheme (4 labels for 1 components)</summary> | |
| | Component | Labels | | |
| | --- | --- | | |
| | **`textcat`** | `Epistolary Exchange`, `Objective Statement`, `Recording of Information`, `Transmission of Information` | | |
| This model will classify papyri with the main categories of the Grammateus (https://grammateus.unige.ch/). | |
| </details> | |
| ### Accuracy | |
| | Type | Score | | |
| | --- | --- | | |
| | `CATS_SCORE` | 94.70 | | |
| | `CATS_MICRO_P` | 94.92 | | |
| | `CATS_MICRO_R` | 94.92 | | |
| | `CATS_MICRO_F` | 94.92 | | |
| | `CATS_MACRO_P` | 95.23 | | |
| | `CATS_MACRO_R` | 94.33 | | |
| | `CATS_MACRO_F` | 94.70 | | |
| | `CATS_MACRO_AUC` | 99.31 | | |
| | `TRANSFORMER_LOSS` | 1928.72 | | |
| | `TEXTCAT_LOSS` | 856.51 | |