## German NER Albert Model For Token Classification

This is a trained Albert model for Token Classification in German ,[Germeval](https://sites.google.com/site/germeval2014ner/) and can be used for Inference.


## Model Specifications

- MAX_LENGTH=128
- MODEL='albert-base-v1'
- BATCH_SIZE=32
- NUM_EPOCHS=3
- SAVE_STEPS=750
- SEED=1
- SAVE_STEPS = 100 
- LOGGING_STEPS = 100 
- SEED = 42 



### Usage Specifications

This model is trained on Tensorflow version and is compatible with the 'ner' pipeline of huggingface.

```python
from transformers import AutoTokenizer,TFAutoModelForTokenClassification
from transformers import pipeline

model=TFAutoModelForTokenClassification.from_pretrained('abhilash1910/albert-german-ner')
tokenizer=AutoTokenizer.from_pretrained('abhilash1910/albert-german-ner')
ner_model = pipeline('ner', model=model, tokenizer=tokenizer)
seq='Berlin ist die Hauptstadt von Deutschland'
ner_model(seq)
```

The Tensorflow version of Albert is used for training the model and the output for the above mentioned segment is as follows:

```
[{'entity': 'B-PERderiv',
  'index': 1,
  'score': 0.09580112248659134,
  'word': '▁berlin'},
 {'entity': 'B-ORGpart',
  'index': 2,
  'score': 0.08364498615264893,
  'word': '▁is'},
 {'entity': 'B-LOCderiv',
  'index': 3,
  'score': 0.07593920826911926,
  'word': 't'},
 {'entity': 'B-PERderiv',
  'index': 4,
  'score': 0.09574996680021286,
  'word': '▁die'},
 {'entity': 'B-LOCderiv',
  'index': 5,
  'score': 0.07097965478897095,
  'word': '▁'},
 {'entity': 'B-PERderiv',
  'index': 6,
  'score': 0.07122448086738586,
  'word': 'haupt'},
 {'entity': 'B-PERderiv',
  'index': 7,
  'score': 0.12397754937410355,
  'word': 'stadt'},
 {'entity': 'I-OTHderiv',
  'index': 8,
  'score': 0.0818650871515274,
  'word': '▁von'},
 {'entity': 'I-LOCderiv',
  'index': 9,
  'score': 0.08271490037441254,
  'word': '▁'},
 {'entity': 'B-LOCderiv',
  'index': 10,
  'score': 0.08616268634796143,
  'word': 'deutschland'}]
  ```

## Resources

For all resources , please look into [huggingface](https://huggingface.com).


---
language:
- de
tags:
- Token Classification
license: apache-2.0
datasets:
- germeval_14
---

{}
transformers tf albert fill-mask autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #albert #fill-mask #autotrain_compatible #endpoints_compatible #region-us 

## German NER Albert Model For Token Classification

This is a trained Albert model for Token Classification in German ,Germeval and can be used for Inference.


## Model Specifications

- MAX_LENGTH=128
- MODEL='albert-base-v1'
- BATCH_SIZE=32
- NUM_EPOCHS=3
- SAVE_STEPS=750
- SEED=1
- SAVE_STEPS = 100 
- LOGGING_STEPS = 100 
- SEED = 42 



### Usage Specifications

This model is trained on Tensorflow version and is compatible with the 'ner' pipeline of huggingface.



The Tensorflow version of Albert is used for training the model and the output for the above mentioned segment is as follows:



## Resources

For all resources , please look into huggingface.


---
language:
- de
tags:
- Token Classification
license: apache-2.0
datasets:
- germeval_14
---

## German NER Albert Model For Token Classification

This is a trained Albert model for Token Classification in German ,Germeval and can be used for Inference. ## Model Specifications

- MAX_LENGTH=128
- MODEL='albert-base-v1'
- BATCH_SIZE=32
- NUM_EPOCHS=3
- SAVE_STEPS=750
- SEED=1
- SAVE_STEPS = 100 
- LOGGING_STEPS = 100 
- SEED = 42 ### Usage Specifications

This model is trained on Tensorflow version and is compatible with the 'ner' pipeline of huggingface.



The Tensorflow version of Albert is used for training the model and the output for the above mentioned segment is as follows: ## Resources

For all resources , please look into huggingface.


---
language:
- de
tags:
- Token Classification
license: apache-2.0
datasets:
- germeval_14
---
TAGS
#transformers #tf #albert #fill-mask #autotrain_compatible #endpoints_compatible #region-us 
 ## German NER Albert Model For Token Classification

This is a trained Albert model for Token Classification in German ,Germeval and can be used for Inference. ## Model Specifications

- MAX_LENGTH=128
- MODEL='albert-base-v1'
- BATCH_SIZE=32
- NUM_EPOCHS=3
- SAVE_STEPS=750
- SEED=1
- SAVE_STEPS = 100 
- LOGGING_STEPS = 100 
- SEED = 42 ### Usage Specifications

This model is trained on Tensorflow version and is compatible with the 'ner' pipeline of huggingface.



The Tensorflow version of Albert is used for training the model and the output for the above mentioned segment is as follows: ## Resources

For all resources , please look into huggingface.


---
language:
- de
tags:
- Token Classification
license: apache-2.0
datasets:
- germeval_14
---
passage: TAGS
#transformers #tf #albert #fill-mask #autotrain_compatible #endpoints_compatible #region-us 
## German NER Albert Model For Token Classification

This is a trained Albert model for Token Classification in German ,Germeval and can be used for Inference.## Model Specifications

- MAX_LENGTH=128
- MODEL='albert-base-v1'
- BATCH_SIZE=32
- NUM_EPOCHS=3
- SAVE_STEPS=750
- SEED=1
- SAVE_STEPS = 100 
- LOGGING_STEPS = 100 
- SEED = 42### Usage Specifications

This model is trained on Tensorflow version and is compatible with the 'ner' pipeline of huggingface.



The Tensorflow version of Albert is used for training the model and the output for the above mentioned segment is as follows:## Resources

For all resources , please look into huggingface.


---
language:
- de
tags:
- Token Classification
license: apache-2.0
datasets:
- germeval_14
---