Agriculture_NER_Model_for_FAIR_Metadata_Enrichment

11
license:mit
by
IT-ZBMED
Language Model
OTHER
New
11 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline

roberta_fairagro = AutoModelForTokenClassification.from_pretrained("IT-ZBMED/Agriculture_NER_Model_for_FAIR_Metadata_Enrichment")
tokenizer = AutoTokenizer.from_pretrained("IT-ZBMED/Agriculture_NER_Model_for_FAIR_Metadata_Enrichment")

nlp = pipeline("ner", model=roberta_fairagro, tokenizer=tokenizer, aggregation_strategy="simple")

example = (
    "In early spring 2025, maize and soybean seedlings established quickly in the loamy sand soil as warmer temperatures "
    "accelerated germination, while by late autumn, the clay loam field supported a robust barley crop that matured well despite the soil’s slower drainage."
)

ner_results = nlp(example)
print(ner_results)

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