swardiantara / ADFLER-roberta-base

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: 1
30-day runs: 3
Model's Last Updated: November 15 2024
token-classification

Introduction of ADFLER-roberta-base

Model Details of ADFLER-roberta-base

ADFLER-roberta-base

This is a roberta-base model fine-tuned on a collection of drone flight log messages: It performs log event recognition by assigning NER tag to each token within the input message using the BIOES tagging scheme.

For more detailed information about the model, please refer to the Roberta's model card.

Intended Use

Description of Image

  • Use to split log records into sentences as well as detecting if the sentence is an event message or not.
  • This model is trained diverse drone log messages from various models acquired from Air Data
Usage (Transformers)

Using this model becomes easy when you have transformers installed:

pip install -U transformers

Then you can use the model like this:

>>> from transformers import pipeline
>>> model = pipeline('ner', model='swardiantara/ADFLER-roberta-base')

>>> model("Unknown Error, Cannot Takeoff. Contact DJI support.")

[{'entity': 'B-Event',
  'score': np.float32(0.9991462),
  'index': 1,
  'word': 'Unknown',
  'start': 0,
  'end': 7},
 {'entity': 'E-Event',
  'score': np.float32(0.9971226),
  'index': 2,
  'word': 'ĠError',
  'start': 8,
  'end': 13},
 {'entity': 'B-Event',
  'score': np.float32(0.9658275),
  'index': 4,
  'word': 'ĠCannot',
  'start': 15,
  'end': 21},
 {'entity': 'E-Event',
  'score': np.float32(0.9913662),
  'index': 5,
  'word': 'ĠTake',
  'start': 22,
  'end': 26},
 {'entity': 'E-Event',
  'score': np.float32(0.9961124),
  'index': 6,
  'word': 'off',
  'start': 26,
  'end': 29},
 {'entity': 'B-NonEvent',
  'score': np.float32(0.9994654),
  'index': 8,
  'word': 'ĠContact',
  'start': 31,
  'end': 38},
 {'entity': 'I-NonEvent',
  'score': np.float32(0.9946643),
  'index': 9,
  'word': 'ĠDJ',
  'start': 39,
  'end': 41},
 {'entity': 'I-NonEvent',
  'score': np.float32(0.8926663),
  'index': 10,
  'word': 'I',
  'start': 41,
  'end': 42},
 {'entity': 'E-NonEvent',
  'score': np.float32(0.9982748),
  'index': 11,
  'word': 'Ġsupport',
  'start': 43,
  'end': 50}]
Citing & Authors
@misc{albert_ner_model,
  author={Silalahi, Swardiantara and Ahmad, Tohari and Studiawan, Hudan},
  title = {RoBERTa Model for Drone Flight Log Event Recognition},
  year = {2024},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub}
}

Runs of swardiantara ADFLER-roberta-base on huggingface.co

10
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
3
30-day runs

More Information About ADFLER-roberta-base huggingface.co Model

More ADFLER-roberta-base license Visit here:

https://choosealicense.com/licenses/mit

ADFLER-roberta-base huggingface.co

ADFLER-roberta-base huggingface.co is an AI model on huggingface.co that provides ADFLER-roberta-base's model effect (), which can be used instantly with this swardiantara ADFLER-roberta-base model. huggingface.co supports a free trial of the ADFLER-roberta-base model, and also provides paid use of the ADFLER-roberta-base. Support call ADFLER-roberta-base model through api, including Node.js, Python, http.

ADFLER-roberta-base huggingface.co Url

https://huggingface.co/swardiantara/ADFLER-roberta-base

swardiantara ADFLER-roberta-base online free

ADFLER-roberta-base huggingface.co is an online trial and call api platform, which integrates ADFLER-roberta-base's modeling effects, including api services, and provides a free online trial of ADFLER-roberta-base, you can try ADFLER-roberta-base online for free by clicking the link below.

swardiantara ADFLER-roberta-base online free url in huggingface.co:

https://huggingface.co/swardiantara/ADFLER-roberta-base

ADFLER-roberta-base install

ADFLER-roberta-base is an open source model from GitHub that offers a free installation service, and any user can find ADFLER-roberta-base on GitHub to install. At the same time, huggingface.co provides the effect of ADFLER-roberta-base install, users can directly use ADFLER-roberta-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ADFLER-roberta-base install url in huggingface.co:

https://huggingface.co/swardiantara/ADFLER-roberta-base

Url of ADFLER-roberta-base

ADFLER-roberta-base huggingface.co Url

Provider of ADFLER-roberta-base huggingface.co

swardiantara
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