nandakishormpai/t5-small-machine-articles-tag-generation
summarization model by nandakishormpai
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Model card & documentation
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Machine Learning model to generate Tags for Machine Learning related articles. This model is a fine-tuned version of t5-small fine-tuned on a refined version of 190k Medium Articles dataset for generating Machine Learning article tags using the article textual content as input. While usually formulated as a multi-label classification problem, this model deals with tag generation as a text2text generation task (inspiration and reference: fabiochiu/t5-base-tag-generation). Finetuning Notebook Reference: Hugging face summarization notebook. Over the 190k article dataset from Kaggle, around 12k of them are Machine Learning based and the tags were pretty high level. Generating more specific tags would be of use while developing a system for Technical Blog Platforms. ML Articles were filtered out and around 1000 articles were sampled. GPT3 API was used to Tag those and then preprocessing on the generated tags was performed to enusre…
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Model overview
nandakishormpai/t5-small-machine-articles-tag-generation is a summarization model repository published by nandakishormpai 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)
- 270
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- T5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-02-18T06:50:02.000Z
- Last modified
- 2023-02-20T15:52:30.000Z
Compatibility and lineage
Reported languages: en
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 2026-11-01T06:54:36.205Z. Daily imports are snapshots, not real-time monitoring.
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