
# how to use:
```
from transformers import pipeline

translator = pipeline(model= "saikiranmaddukuri/chat_to_sql0.17")
text='question:Find the name of services that have been used for more than 2 times in first notification of loss. table:CREATE TABLE services (service_name VARCHAR, service_id VARCHAR); CREATE TABLE first_notification_of_loss (service_id VARCHAR)'
translator([text])
```

---
tags:
- translation
co2_eq_emissions:
  emissions: 3.82116390390087
---

# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 55737129706
- CO2 Emissions (in grams): 3.8212

## Validation Metrics

- Loss: 0.167
- SacreBLEU: 21.347
- Gen len: 18.183
{}
transformers pytorch t5 text2text-generation autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


# how to use:


---
tags:
- translation
co2_eq_emissions:
  emissions: 3.82116390390087
---

# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 55737129706
- CO2 Emissions (in grams): 3.8212

## Validation Metrics

- Loss: 0.167
- SacreBLEU: 21.347
- Gen len: 18.183
# how to use:


---
tags:
- translation
co2_eq_emissions:
  emissions: 3.82116390390087
--- # Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 55737129706
- CO2 Emissions (in grams): 3.8212 ## Validation Metrics

- Loss: 0.167
- SacreBLEU: 21.347
- Gen len: 18.183
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # how to use:


---
tags:
- translation
co2_eq_emissions:
  emissions: 3.82116390390087
--- # Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 55737129706
- CO2 Emissions (in grams): 3.8212 ## Validation Metrics

- Loss: 0.167
- SacreBLEU: 21.347
- Gen len: 18.183