aiopswithdev / content

huggingface.co
Total runs: 17
24-hour runs: 0
7-day runs: 17
30-day runs: 17
Model's Last Updated: October 17 2025

Introduction of content

Model Details of content

content

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2
Training results
Framework versions
  • Transformers 4.57.0
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1

Runs of aiopswithdev content on huggingface.co

17
Total runs
0
24-hour runs
9
3-day runs
17
7-day runs
17
30-day runs

More Information About content huggingface.co Model

More content license Visit here:

https://choosealicense.com/licenses/mit

content huggingface.co

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

aiopswithdev content online free

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

aiopswithdev content online free url in huggingface.co:

https://huggingface.co/aiopswithdev/content

content install

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

content install url in huggingface.co:

https://huggingface.co/aiopswithdev/content

Url of content

Provider of content huggingface.co

aiopswithdev
ORGANIZATIONS

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