Instructions to use thet-system/en_pubmed_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use thet-system/en_pubmed_en with spaCy:
!pip install https://huggingface.co/thet-system/en_pubmed_en/resolve/main/en_pubmed_en-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_pubmed_en") # Importing as module. import en_pubmed_en nlp = en_pubmed_en.load() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_pubmed_en |
| Version | 0.0.0 |
| spaCy | >=3.2.0,<3.3.0 |
| Default Pipeline | tok2vec, spancat |
| Components | tok2vec, spancat |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
spancat |
METRIC_2, METRIC_1, STATISTIC_NAME, STATISTIC_GROUP |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
0.36 |
SPANS_SC_P |
0.18 |
SPANS_SC_R |
41.08 |
TOK2VEC_LOSS |
31300.51 |
SPANCAT_LOSS |
126084.67 |
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