# model information

This model classifies the reviews given by the patients to doctors 
model:bert model
task : text-classification or sentiment analysis
classes: positive and negative
use same path saipavan/.... to load model and tokenizer

this model got trained on more than 5000 reviews and is giving good accuracy.
{"license": "other"}
transformers pytorch distilbert text-classification license:other autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #license-other #autotrain_compatible #endpoints_compatible #region-us 

# model information

This model classifies the reviews given by the patients to doctors 
model:bert model
task : text-classification or sentiment analysis
classes: positive and negative
use same path saipavan/.... to load model and tokenizer

this model got trained on more than 5000 reviews and is giving good accuracy.
# model information

This model classifies the reviews given by the patients to doctors 
model:bert model
task : text-classification or sentiment analysis
classes: positive and negative
use same path saipavan/.... to load model and tokenizer

this model got trained on more than 5000 reviews and is giving good accuracy.
TAGS
#transformers #pytorch #distilbert #text-classification #license-other #autotrain_compatible #endpoints_compatible #region-us 
 # model information

This model classifies the reviews given by the patients to doctors 
model:bert model
task : text-classification or sentiment analysis
classes: positive and negative
use same path saipavan/.... to load model and tokenizer

this model got trained on more than 5000 reviews and is giving good accuracy.
passage: TAGS
#transformers #pytorch #distilbert #text-classification #license-other #autotrain_compatible #endpoints_compatible #region-us 
# model information

This model classifies the reviews given by the patients to doctors 
model:bert model
task : text-classification or sentiment analysis
classes: positive and negative
use same path saipavan/.... to load model and tokenizer

this model got trained on more than 5000 reviews and is giving good accuracy.