Use pre-trained, task-specific Small Language Models and fine-tune them without training data

emotion-detection guardrail-models intent-classification llm-finetuning llm-inference local-ai named-entity-recognition nlp pre-trained-models reranker self-hosted self-hosted-ai sentiment-analysis small-language-models task-specific-model text-anonymization text-classification
6 Open Issues Need Help Last updated: Jan 10, 2026

Open Issues Need Help

View All on GitHub

AI Summary: This GitHub issue requests the implementation of a text summarization model. It provides a clear definition of text summarization with an example and specifies that the model must include a `.train()` method, allowing training on a specific domain and language, with an optional output path for saving the model.

Complexity: 4/5
good first issue help wanted new model

Use pre-trained, task-specific Small Language Models and fine-tune them without training data

Python
#emotion-detection#guardrail-models#intent-classification#llm-finetuning#llm-inference#local-ai#named-entity-recognition#nlp#pre-trained-models#reranker#self-hosted#self-hosted-ai#sentiment-analysis#small-language-models#task-specific-model#text-anonymization#text-classification
help wanted new model

Use pre-trained, task-specific Small Language Models and fine-tune them without training data

Python
#emotion-detection#guardrail-models#intent-classification#llm-finetuning#llm-inference#local-ai#named-entity-recognition#nlp#pre-trained-models#reranker#self-hosted#self-hosted-ai#sentiment-analysis#small-language-models#task-specific-model#text-anonymization#text-classification
good first issue help wanted

Use pre-trained, task-specific Small Language Models and fine-tune them without training data

Python
#emotion-detection#guardrail-models#intent-classification#llm-finetuning#llm-inference#local-ai#named-entity-recognition#nlp#pre-trained-models#reranker#self-hosted#self-hosted-ai#sentiment-analysis#small-language-models#task-specific-model#text-anonymization#text-classification
enhancement good first issue help wanted

Use pre-trained, task-specific Small Language Models and fine-tune them without training data

Python
#emotion-detection#guardrail-models#intent-classification#llm-finetuning#llm-inference#local-ai#named-entity-recognition#nlp#pre-trained-models#reranker#self-hosted#self-hosted-ai#sentiment-analysis#small-language-models#task-specific-model#text-anonymization#text-classification
enhancement good first issue

Use pre-trained, task-specific Small Language Models and fine-tune them without training data

Python
#emotion-detection#guardrail-models#intent-classification#llm-finetuning#llm-inference#local-ai#named-entity-recognition#nlp#pre-trained-models#reranker#self-hosted#self-hosted-ai#sentiment-analysis#small-language-models#task-specific-model#text-anonymization#text-classification
good first issue help wanted

Use pre-trained, task-specific Small Language Models and fine-tune them without training data

Python
#emotion-detection#guardrail-models#intent-classification#llm-finetuning#llm-inference#local-ai#named-entity-recognition#nlp#pre-trained-models#reranker#self-hosted#self-hosted-ai#sentiment-analysis#small-language-models#task-specific-model#text-anonymization#text-classification