### Introduction
German Named Entity Recognition model for recognizing Bavarian landmarks. Fine-tuned "bert-base-german-cased" with 6450 annotated sentences of which 1467 contained landmarks, from subtitles of videos from Bayerischer Rundfunk.

| Feature | Description |
| --- | --- |
| **Name** | `de_pipeline` |
| **Version** | `0.1.0` |
| **spaCy** | `>=3.3.0,<3.4.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | Constantin Förster |

### Label Scheme

<details>

<summary>View label scheme (1 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `LM` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 85.39 |
| `ENTS_P` | 83.79 |
| `ENTS_R` | 87.05 |
| `TRANSFORMER_LOSS` | 4216.96 |
| `NER_LOSS` | 78511.31 |
{"language": ["de"], "tags": ["spacy", "token-classification"]}
spacy token-classification de model-index has_space region:us
TAGS
#spacy #token-classification #de #model-index #has_space #region-us 

### Introduction


German Named Entity Recognition model for recognizing Bavarian landmarks. Fine-tuned "bert-base-german-cased" with 6450 annotated sentences of which 1467 contained landmarks, from subtitles of videos from Bayerischer Rundfunk.



### Label Scheme



View label scheme (1 labels for 1 components)


### Accuracy




### Introduction


German Named Entity Recognition model for recognizing Bavarian landmarks. Fine-tuned "bert-base-german-cased" with 6450 annotated sentences of which 1467 contained landmarks, from subtitles of videos from Bayerischer Rundfunk. ### Label Scheme



View label scheme (1 labels for 1 components) ### Accuracy
TAGS
#spacy #token-classification #de #model-index #has_space #region-us 
 ### Introduction


German Named Entity Recognition model for recognizing Bavarian landmarks. Fine-tuned "bert-base-german-cased" with 6450 annotated sentences of which 1467 contained landmarks, from subtitles of videos from Bayerischer Rundfunk. ### Label Scheme



View label scheme (1 labels for 1 components) ### Accuracy
passage: TAGS
#spacy #token-classification #de #model-index #has_space #region-us 
### Introduction


German Named Entity Recognition model for recognizing Bavarian landmarks. Fine-tuned "bert-base-german-cased" with 6450 annotated sentences of which 1467 contained landmarks, from subtitles of videos from Bayerischer Rundfunk.### Label Scheme



View label scheme (1 labels for 1 components)### Accuracy