
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 3404193254
- CO2 Emissions (in grams): 17.3816

## Validation Metrics

- Loss: 1.474
- Rouge1: 51.350
- Rouge2: 35.676
- RougeL: 44.037
- RougeLsum: 45.017
- Gen Len: 81.850

## Usage

You can use cURL to access this model:

```
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/PoseyATX/autotrain-again-3404193254
```
{"language": ["unk"], "tags": ["autotrain", "summarization"], "datasets": ["PoseyATX/autotrain-data-again"], "widget": [{"text": "  86(R) HB 6 - Introduced version - Bill Text        86R13360 JRJ-D          By: Morrison H.B. No. 6                  A BILL TO BE ENTITLED         AN ACT        relating to developing a disaster recovery task force to assist        with long-term disaster recovery.              BE IT ENACTED BY THE LEGISLATURE OF THE STATE OF TEXAS:              SECTION 1.  Subchapter C, Chapter 418, Government Code, is        amended by adding Section 418.054 to read as follows:              Sec. 418.054.  DISASTER RECOVERY TASK FORCE.  (a) The        division shall develop a disaster recovery task force to operate        throughout the long-term recovery period following natural and        man-made disasters by providing specialized assistance for        communities and individuals to address financial issues, available        federal assistance programs, and recovery and resiliency planning        to speed recovery efforts at the local level.              (b)  The disaster recovery task force may include and use the        resources of:                    (1)  The Texas A&M University System, including the        Texas A&M AgriLife Extension Service, the Texas A&M Engineering        Extension Service, and the Texas A&M Forest Service;                    (2)  other appropriate state agencies; and                    (3)  organized volunteer groups.              (c)  The disaster recovery task force shall develop        procedures for preparing and issuing a report listing each project        related to a disaster that qualifies for federal assistance.  A        report must be submitted to the appropriate federal agencies as        soon as practicable after any disaster.              (d)  Once each quarter, the disaster recovery task force        shall brief members of the legislature, legislative staff, and        state agency personnel on the response and recovery efforts for        previous disasters and any preparation or planning for potential        future hazards, threats, or disasters.              SECTION 2.  This Act takes effect September 1, 2019.    "}], "co2_eq_emissions": {"emissions": 17.381617143515218}}
transformers pytorch bart text2text-generation autotrain summarization unk dataset:PoseyATX/autotrain-data-again co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bart #text2text-generation #autotrain #summarization #unk #dataset-PoseyATX/autotrain-data-again #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 3404193254
- CO2 Emissions (in grams): 17.3816

## Validation Metrics

- Loss: 1.474
- Rouge1: 51.350
- Rouge2: 35.676
- RougeL: 44.037
- RougeLsum: 45.017
- Gen Len: 81.850

## Usage

You can use cURL to access this model:


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 3404193254
- CO2 Emissions (in grams): 17.3816 ## Validation Metrics

- Loss: 1.474
- Rouge1: 51.350
- Rouge2: 35.676
- RougeL: 44.037
- RougeLsum: 45.017
- Gen Len: 81.850 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #bart #text2text-generation #autotrain #summarization #unk #dataset-PoseyATX/autotrain-data-again #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 3404193254
- CO2 Emissions (in grams): 17.3816 ## Validation Metrics

- Loss: 1.474
- Rouge1: 51.350
- Rouge2: 35.676
- RougeL: 44.037
- RougeLsum: 45.017
- Gen Len: 81.850 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #bart #text2text-generation #autotrain #summarization #unk #dataset-PoseyATX/autotrain-data-again #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 3404193254
- CO2 Emissions (in grams): 17.3816## Validation Metrics

- Loss: 1.474
- Rouge1: 51.350
- Rouge2: 35.676
- RougeL: 44.037
- RougeLsum: 45.017
- Gen Len: 81.850## Usage

You can use cURL to access this model: