readme: ## 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
  ---
  