
# Model Trained Using AutoTrain

- Problem type: Text Generation
- CO2 Emissions (in grams): 0.0000

## Validation Metrics
loss: nan
{"library_name": "transformers", "tags": ["autotrain", "text-generation"], "datasets": ["Metehan92/autotrain-data-q4oo-1wzg-vlx5"], "widget": [{"text": "I love AutoTrain because "}], "co2_eq_emissions": {"emissions": 0}}
transformers gptj text-generation autotrain dataset:Metehan92/autotrain-data-q4oo-1wzg-vlx5 co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #gptj #text-generation #autotrain #dataset-Metehan92/autotrain-data-q4oo-1wzg-vlx5 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Text Generation
- CO2 Emissions (in grams): 0.0000

## Validation Metrics
loss: nan
# Model Trained Using AutoTrain

- Problem type: Text Generation
- CO2 Emissions (in grams): 0.0000 ## Validation Metrics
loss: nan
TAGS
#transformers #gptj #text-generation #autotrain #dataset-Metehan92/autotrain-data-q4oo-1wzg-vlx5 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Text Generation
- CO2 Emissions (in grams): 0.0000 ## Validation Metrics
loss: nan