Sectorial LLM Collection: Specialized Models for Agriculture, Legal, and Tourism

A curated collection of specialized large language models for sector-specific tasks hosted on HuggingFace. The collection includes at least 28 models across 10 sectors, with detailed coverage for agriculture, legal, and tourism. It was created by pauvanbr and last updated on May 12, 2026.

Use Cases

• Fine-tuning models for agricultural pest and crop management based on the described BERT, Llama, Qwen, and Gemma models.
• Developing legal document analysis tools based on the described Legal-BERT, SBERT, and NER models for Indian, Brazilian, and Spanish law.
• Building tourism forecasting and question-answering systems based on the described LLMs for the tourism sector.

Strengths

• The collection is curated and organized by sector, covering at least 10 distinct domains.
• It aggregates at least 28 specialized models, including 9 for agriculture and 10 for legal applications.
• It includes references to key papers on sectorial fine-tuning and domain adaptation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Curated collection aggregated from HuggingFace repositories.

Freshness

Last updated 2026-05-12 13:29:42; freshness should be verified.