Token Classification
spaCy
Danish
dacy
danish
pos tagging
morphological analysis
lemmatization
dependency parsing
named entity recognition
Eval Results (legacy)
Instructions to use chcaa/da_dacy_large_trf_1.0.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_large_trf_1.0.0 with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_large_trf_1.0.0/resolve/main/da_dacy_large_trf_1.0.0-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_large_trf_1.0.0") # Importing as module. import da_dacy_large_trf_1.0.0 nlp = da_dacy_large_trf_1.0.0.load() - Notebooks
- Google Colab
- Kaggle
used add_readme_metadata.py
Browse files
README.md
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| 1 |
| Feature | Description |
|
| 2 |
| --- | --- |
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| 3 |
| **Name** | `da_dacy_large_dacy_large` |
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|
| 1 |
+
---
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| 2 |
+
tags:
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| 3 |
+
- spacy
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| 4 |
+
- dacy
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| 5 |
+
- danish
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| 6 |
+
- token-classification
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| 7 |
+
- pos tagging
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| 8 |
+
- morphological analysis
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| 9 |
+
- lemmatization
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| 10 |
+
- dependency parsing
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| 11 |
+
- named entity recognition
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| 12 |
+
language:
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| 13 |
+
- da
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| 14 |
+
license: apache-2.0
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| 15 |
+
model-index:
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| 16 |
+
- name: 'dacy_large'
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| 17 |
+
results:
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| 18 |
+
- task:
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| 19 |
+
name: NER
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| 20 |
+
type: token-classification
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| 21 |
+
metrics:
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| 22 |
+
- name: NER Precision
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| 23 |
+
type: precision
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| 24 |
+
value: 0.8540669856
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| 25 |
+
- name: NER Recall
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| 26 |
+
type: recall
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| 27 |
+
value: 0.9060913706
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| 28 |
+
- name: NER F Score
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| 29 |
+
type: f_score
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| 30 |
+
value: 0.8793103448
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| 31 |
+
dataset:
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| 32 |
+
name: DaNE
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| 33 |
+
split: test
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| 34 |
+
type: dane
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| 35 |
+
- task:
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| 36 |
+
name: TAG
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| 37 |
+
type: token-classification
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| 38 |
+
metrics:
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| 39 |
+
- name: TAG (XPOS) Accuracy
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| 40 |
+
type: accuracy
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| 41 |
+
value: 0.9859187847
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| 42 |
+
dataset:
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| 43 |
+
name: UD Danish DDT
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| 44 |
+
split: test
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| 45 |
+
type: universal_dependencies
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| 46 |
+
config: da_ddt
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| 47 |
+
- task:
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| 48 |
+
name: POS
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| 49 |
+
type: token-classification
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| 50 |
+
metrics:
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| 51 |
+
- name: POS (UPOS) Accuracy
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| 52 |
+
type: accuracy
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| 53 |
+
value: 0.9859780323
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| 54 |
+
dataset:
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| 55 |
+
name: UD Danish DDT
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| 56 |
+
split: test
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| 57 |
+
type: universal_dependencies
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| 58 |
+
config: da_ddt
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| 59 |
+
- task:
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| 60 |
+
name: MORPH
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| 61 |
+
type: token-classification
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| 62 |
+
metrics:
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| 63 |
+
- name: Morph (UFeats) Accuracy
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| 64 |
+
type: accuracy
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| 65 |
+
value: 0.986094882
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| 66 |
+
dataset:
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| 67 |
+
name: UD Danish DDT
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| 68 |
+
split: test
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| 69 |
+
type: universal_dependencies
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| 70 |
+
config: da_ddt
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| 71 |
+
- task:
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| 72 |
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name: LEMMA
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| 73 |
+
type: token-classification
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| 74 |
+
metrics:
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| 75 |
+
- name: Lemma Accuracy
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| 76 |
+
type: accuracy
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| 77 |
+
value: 0.9610374438
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| 78 |
+
dataset:
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| 79 |
+
name: UD Danish DDT
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| 80 |
+
split: test
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| 81 |
+
type: universal_dependencies
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| 82 |
+
config: da_ddt
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| 83 |
+
- task:
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| 84 |
+
name: UNLABELED_DEPENDENCIES
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| 85 |
+
type: token-classification
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| 86 |
+
metrics:
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| 87 |
+
- name: Unlabeled Attachment Score (UAS)
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| 88 |
+
type: f_score
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| 89 |
+
value: 0.9155339149
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| 90 |
+
dataset:
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| 91 |
+
name: UD Danish DDT
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| 92 |
+
split: test
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| 93 |
+
type: universal_dependencies
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| 94 |
+
config: da_ddt
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| 95 |
+
- task:
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| 96 |
+
name: LABELED_DEPENDENCIES
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| 97 |
+
type: token-classification
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| 98 |
+
metrics:
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| 99 |
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- name: Labeled Attachment Score (LAS)
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| 100 |
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type: f_score
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| 101 |
+
value: 0.8897903989
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| 102 |
+
dataset:
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| 103 |
+
name: UD Danish DDT
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| 104 |
+
split: test
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| 105 |
+
type: universal_dependencies
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| 106 |
+
config: da_ddt
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| 107 |
+
- task:
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| 108 |
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name: SENTS
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| 109 |
+
type: token-classification
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| 110 |
+
metrics:
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| 111 |
+
- name: Sentences F-Score
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| 112 |
+
type: f_score
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| 113 |
+
value: 0.9844097996
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| 114 |
+
dataset:
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| 115 |
+
name: UD Danish DDT
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| 116 |
+
split: test
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| 117 |
+
type: universal_dependencies
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| 118 |
+
config: da_ddt
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| 119 |
+
library_name: spacy
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| 120 |
+
datasets:
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| 121 |
+
- universal_dependencies
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| 122 |
+
- dane
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| 123 |
+
metrics:
|
| 124 |
+
- accuracy
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| 125 |
+
---
|
| 126 |
| Feature | Description |
|
| 127 |
| --- | --- |
|
| 128 |
| **Name** | `da_dacy_large_dacy_large` |
|