SEBIS/code_trans_t5_base_code_documentation_generation_javascript_transfer_learning_finetune
summarization model by SEBIS
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Model card & documentation
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Pretrained model on programming language javascript using the t5 base model architecture. It was first released in this repository. This model is trained on tokenized javascript code functions: it works best with tokenized javascript functions. This CodeTrans model is based on the t5-base model. It has its own SentencePiece vocabulary model. It used transfer-learning pre-training on 7 unsupervised datasets in the software development domain. It is then fine-tuned on the code documentation generation task for the javascript function/method. The model could be used to generate the description for the javascript function or be fine-tuned on other javascript code tasks. It can be used on unparsed and untokenized javascript code. However, if the javascript code is tokenized, the performance should be better. Here is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline: Run this example in colab notebook. The supervised training tasks datasets can be downloaded…
Read the full model card ↗ · Preview checked 2026-10-31T13:44:12.763Z
Inside the original model card — Document outline
- CodeTrans model for code documentation generation javascript
- Model description
- Intended uses & limitations
- How to use
- Training data
- Training procedure
- Transfer-learning Pretraining
- Fine-tuning
- Evaluation results
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Model overview
SEBIS/code_trans_t5_base_code_documentation_generation_javascript_transfer_learning_finetune is a summarization model repository published by SEBIS on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- summarization
- Library
- transformers
- Recent downloads (30 days)
- 292
- Cumulative likes
- 10
- Hugging Face trending score
- 2
- Reported safetensors parameters
- Not reported
- Architecture
- T5Model
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:04.000Z
- Last modified
- 2021-06-23T04:33:14.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-18T06:46:07.452Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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