Instructions to use yasserrmd/geo-gemma-300m-emb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yasserrmd/geo-gemma-300m-emb with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("yasserrmd/geo-gemma-300m-emb")

sentences = [
    "How does precipitation influence the water use efficiency and carbon isotopes of Picea meyeri, and what are the implications for climate change studies?",
    "In the study of starry flounders (Platichthys stellatus), cortisol levels increased with increasing water temperature and then gradually decreased. This suggests that cortisol, a stress hormone, is elevated as a response to higher water temperatures, indicating that the fish experience stress under these conditions. The increase in cortisol levels is part of the fish's physiological response to environmental stressors, such as temperature changes, which can affect their survival and overall health.",
    "The FY-4A/AGRI LST products effectively capture surface temperatures in Hunan Province, with a correlation coefficient (R) of 0.893. However, they exhibit a relatively high error level, with a bias of ?6.295 °C and a root mean square error (RMSE) of 8.58 °C, particularly in capturing high LST values. The performance of this product is superior in the eastern flat terrain area of Hunan Province compared to the western mountainous region. Environmental conditions in the mountainous areas cause systematic errors that contribute to instability in detection deviation. Surface heat resources are more abundant in eastern Hunan Province than in the mountainous areas located to the west and south, and their detailed distribution at finer scales is mainly influenced by terrain and climate conditions. There is no obvious seasonal difference in the distribution of heat resources except in winter, and rapid urbanization within the Chang–Zhu–Tan urban agglomeration over two years has significantly altered the spatial distribution pattern of surface heat resources across Hunan Province.",
    "The water use efficiency (WUE) of Picea meyeri is significantly influenced by precipitation, along with temperature. The study found that there is a significant positive correlation between the WUE sequence and temperature. However, due to the combined effects of precipitation and temperature, Picea meyeri is subject to drought stress to some extent. This indicates that while temperature is the main climatic factor affecting the δ13C and WUE of Picea meyeri, precipitation also plays a crucial role in the plant's response to climate change. These findings are important for understanding the impacts of climate change on tree species and their ability to adapt to changing environmental conditions."
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]

Notebooks
Google Colab
Kaggle

geo-gemma-300m-emb / 3_Dense /model.safetensors

yasserrmd

Initial commit: Fine-tuned embedding-gemma-300m on GeoGPT-QA dataset

7fc02e8 verified 12 months ago

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