
## Token Classification
Classifies Gro's items and metrics

| **tag**                        | **token** |
|---------------------------------|-----------|
|B-ITEM    | BEGINNING ITEM|
|I-ITEM    | INSIDE ITEM|
|B-METRIC   |BEGINNING METRIC  |
|I-METRIC    | INSIDE METRIC|
|O          | OUTSIDE |

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### Training: Script to train this model

The following Flair script was used to train this model: 

```python
from transformers import AutoModelForTokenClassification, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("Wanjiru/autotrain_gro_ner")

model = AutoModelForTokenClassification.from_pretrained("Wanjiru/autotrain_gro_ner")

nlp = pipeline("ner", model=model, tokenizer=tokenizer)
example = "Wanjru"
ner_res = nlp(example)
  
```



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{"language": "en", "tags": ["bert", "token-classification", "sequence-tagger-model"], "widget": [{"text": "Total exports of maize"}]}
transformers pytorch bert token-classification sequence-tagger-model en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #sequence-tagger-model #en #autotrain_compatible #endpoints_compatible #region-us 

Token Classification
--------------------


Classifies Gro's items and metrics





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### Training: Script to train this model


The following Flair script was used to train this model:




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### Training: Script to train this model


The following Flair script was used to train this model:




---
TAGS
#transformers #pytorch #bert #token-classification #sequence-tagger-model #en #autotrain_compatible #endpoints_compatible #region-us 
 ### Training: Script to train this model


The following Flair script was used to train this model:




---
passage: TAGS
#transformers #pytorch #bert #token-classification #sequence-tagger-model #en #autotrain_compatible #endpoints_compatible #region-us 
### Training: Script to train this model


The following Flair script was used to train this model:




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