
This is a Named-entity Recognition model for Aerospace that identifies entities within the following categories: VEHICLE, COMPONENT, TASK, and FACILITY.
{"license": "mit", "pipeline_tag": "token-classification", "widget": [{"text": "In addition to manufacturing major components for Typhoon, the site builds the aft fuselage and the horizontal and vertical tail planes for every F-35 military aircraft under contract to the prime contractor, Lockheed Martin.", "example_title": "Example 1"}, {"text": "The check needs about 50-70 man-hours to complete, and is usually performed in an aircraft hangar.", "example_title": "Example 2"}, {"text": "With the development of high-altitude and long-endurance unmanned aerial vehicles (UAVs), optimization of the coordinated energy dispatch of UAVs\u2019 energy management systems has become a key target in the research of electric UAVs.", "example_title": "Example 3"}]}
transformers pytorch roberta token-classification license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #token-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 


This is a Named-entity Recognition model for Aerospace that identifies entities within the following categories: VEHICLE, COMPONENT, TASK, and FACILITY.
TAGS
#transformers #pytorch #roberta #token-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #roberta #token-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 
