
A Demo BERT classification model Trained on (Part of) Yelp Dataset

Photo2Text model: ydshieh/vit-gpt2-coco-en

Expected / Standard Input:

```
[CLS] Business Name [SEP] Address [SEP] City [SEP] Photo2Text Outputs ...
```

Example:

```
[CLS] Paws The Cat Cafe [SEP] 10588 109 Street [SEP] Edmonton [SEP] A cup of coffee
```

Expected Output: 5
{"license": "mit"}
transformers pytorch bert text-classification license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 


A Demo BERT classification model Trained on (Part of) Yelp Dataset

Photo2Text model: ydshieh/vit-gpt2-coco-en

Expected / Standard Input:



Example:



Expected Output: 5
TAGS
#transformers #pytorch #bert #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 
