# Model Card for Model ID

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NER model trained on WNUT dataset 

## Model Details

  Trained based on tutorials on Token classification. Uses WNUT dataset.


- **Developed by:** Lathashree
- **Model type:** BERT-based NER model
- **Language(s) (NLP):** Python
- **Finetuned from model [optional]:** DistilBERT_uncased


{"tags": ["NER", "NLP", "WNUT"], "datasets": ["wnut_17"], "metrics": ["accuracy", "precision", "recall"]}
transformers pytorch distilbert token-classification NER NLP WNUT dataset:wnut_17 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #token-classification #NER #NLP #WNUT #dataset-wnut_17 #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Model ID



NER model trained on WNUT dataset 

## Model Details

  Trained based on tutorials on Token classification. Uses WNUT dataset.


- Developed by: Lathashree
- Model type: BERT-based NER model
- Language(s) (NLP): Python
- Finetuned from model [optional]: DistilBERT_uncased


# Model Card for Model ID



NER model trained on WNUT dataset ## Model Details

  Trained based on tutorials on Token classification. Uses WNUT dataset.


- Developed by: Lathashree
- Model type: BERT-based NER model
- Language(s) (NLP): Python
- Finetuned from model [optional]: DistilBERT_uncased
TAGS
#transformers #pytorch #distilbert #token-classification #NER #NLP #WNUT #dataset-wnut_17 #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Model ID



NER model trained on WNUT dataset ## Model Details

  Trained based on tutorials on Token classification. Uses WNUT dataset.


- Developed by: Lathashree
- Model type: BERT-based NER model
- Language(s) (NLP): Python
- Finetuned from model [optional]: DistilBERT_uncased