sentence-transformers How to use collaborativeearth/bge-m3_wri with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("collaborativeearth/bge-m3_wri")
sentences = [
"can beef help reduce emissions",
"Toward \"Better\" Meat? Aligning Meat Sourcing Strategies with Corporate Climate and Sustainability Goals These studies each shed light on the quantitative effects of shifting production or sourcing from a conventional system to an alternative system.\n\nBecause Poore and Nemecek’s (2018) database only captured studies published between 2000 and June 2016, we performed a literature review using similar search terms and study inclusion criteria to capture additional studies that were published through 2022. As Poore and Nemecek (2018) did, in some instances we performed adjustments to fill data gaps or make results more comparable between studies (e.g., estimating land use using data included in a study, making assumptions to estimate impacts from the animals’ full life cycle). See Appendix A for more details on our approach to adding in more recent studies and Appendix B for the full list of “paired studies” included in our analysis below, as well as all adjustments made. The Glossary provides definitions of the various production systems.\n\nFor each quantitative environmental indicator (e.g., GHG emissions, land use) in each “paired study,” we calculated the percent changes that occurred when shifting from the conventional system to the alternative production system.",
"Toward \"Better\" Meat? Aligning Meat Sourcing Strategies with Corporate Climate and Sustainability Goals Finally, there are more complex nutrient quality indices that could be used as denominators (FAO 2021; Katz-Rosene et al. 2023), but, since no consensus exists about which one is “best,” we have used the simpler denominator of protein. In sum, use of any of these alternative numerators and denominators would not change the main findings and recommendations of this report.\n\n4. For GHG emissions, we removed land-use-change emissions from the estimates in Poore and Nemecek (2018), so as not to double-count with the “carbon opportunity costs” of agricultural land use.",
"Toward \"Better\" Meat? Aligning Meat Sourcing Strategies with Corporate Climate and Sustainability Goals Shift toward lower-emissions foods. As noted elsewhere in this report, because beef is an emissions-intensive food, shifting purchases and sales toward lower-emissions foods can help companies reduce scope 3 emissions.\n\nThere is growing interest in improving grazing management to increase the amount of carbon sequestered in pasturelands, a practice often called “regenerative grazing.” Some proponents of regenerative grazing even suggest that by removing carbon from the atmosphere, soil carbon sequestration could fully offset GHG emissions from beef production, suggesting potentially “carbon neutral” or “carbon negative” beef. And while traditional life cycle assessments assumed that soil carbon stocks on agricultural lands were in equilibrium and did not include soil carbon stock changes in studies on agriculture’s environmental impacts, more recent studies have begun to incorporate soil carbon measurements, including several beef studies included in our review (Buratti et al. 2017; Eldesouky et al. 2018; Stanley et al. 2018)."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
