sentence-transformers How to use amene-gafsi/MNLP_M3_document_encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("amene-gafsi/MNLP_M3_document_encoder")
sentences = [
"Which of the following statements accurately describes the relationship between gene compaction and locus volume in genomic loci?\n\nA) Increased locus volume correlates with higher gene compaction.\n\nB) A high level of compaction is associated with a high volume of the genomic locus.\n\nC) Gene compaction is directly proportional to locus volume.\n\nD) Loci with low volume exhibit high levels of compaction.\n\n**Correct Answer: D) Loci with low volume exhibit high levels of compaction.**",
"The QoS negotiation is supported by the PRACK request, that starts resource reservation in the calling party network, and it is answered by a 2XX response code. Once this response has been sent, the called party has selected the codec too, and starts resource reservation on its side. Subsequent UPDATE requests are sent to inform about the reservation progress, and they are answered by 2XX response codes. In a typical offer/answer exchange, one UPDATE will be sent by the calling party when its reservation is completed, then the called party will respond and eventually finish allocating the resources. It is then, when all the resources for the call are in place, when the caller is alerted.\nIf the individual has undergone stenting, an anticoagulant will be a necessity to prevent build-up around the stent(s), as the body will perceive the foreign body as a wound and attempt to heal it. Some patients who had alternate corrective surgery, such as the Mustard or Senning procedure, may have issues with SA and VA nodal transmissions in later life. Typical symptoms include palpitations and problems with low heart rates. This is commonly solved with a Pacemaker unit, providing scar tissue from the original operation does not block its functionality. More recently, ACE inhibitors have been prescribed to patients in the hope of relieving stress on the heart.\nUsing this method which results in a relatively high control of size and shape, semiconductor nanostructures could be synthesized in the form of dots, tubes, wires and other forms which show interesting optic and electronic size-dependent properties. Since the synergistic properties resulting from the intimate contact and interaction between the core and shell, CSSNCs can provide novel functions and enhanced properties which are not observed in single nanoparticles.The size of core materials and the thickness of shell can be controlled during synthesis. For example, in the synthesis of CdSe core nanocrystals, the volume of H2S gas can determine the size of core nanocrystals.",
"In mathematics, the Chang number of an irreducible representation of a simple complex Lie algebra is its dimension modulo 1 + h, where h is the Coxeter number. Chang numbers are named after Chang (1982), who rediscovered an element of order h + 1 found by Kac (1981). Kac (1981) showed that there is a unique class of regular elements σ of order h + 1, in the complex points of the corresponding Chevalley group. He showed that the trace of σ on an irreducible representation is −1, 0, or +1, and if h + 1 is prime then the trace is congruent to the dimension mod h+1. This implies that the dimension of an irreducible representation is always −1, 0, or +1 mod h + 1 whenever h + 1 is prime.\nMosquito bite allergies are informally classified as 1) the skeeter syndrome, i.e., severe local skin reactions sometimes associated with low-grade fever; 2) systemic reactions that range from high-grade fever, lymphadenopathy, abdominal pain, and/or diarrhea to, very rarely, life-threatening symptoms of anaphylaxis; and 3) severe and often systemic reactions occurring in individuals that have an Epstein-Barr virus-associated lymphoproliferative disease, Epstein-Barr virus-negative lymphoid malignancy, or another predisposing condition such as eosinophilic cellulitis or chronic lymphocytic leukemia. The term papular urticaria is commonly used for a reaction to mosquito bites that is dominated by widely spread hives.",
"All LIRR bilevel passenger rail cars have two wide quarter-point doors on each side, for high level platforms only. The bilevel cars used by NJ Transit and Exo have four doors on each side, two quarter-point doors at high level platform height and one at each end vestibule, with traps used to reach low level platforms. The bilevel cars used by MBTA have side doors with traps at each end vestibule.\nFor 128 bits of security and the smallest signature size in a Rainbow multivariate quadratic equation signature scheme, Petzoldt, Bulygin and Buchmann, recommend using equations in F 31 {\\displaystyle \\mathbb {F} _{31}} with a public key size of just over 991,000 bits, a private key of just over 740,000 bits and digital signatures which are 424 bits in length.\nA 2020 study identified a habitat-specific and relatively abundant core microbiome in the manuka phyllosphere, which was persistent across all samples. In contrast, non-core phyllosphere microorganisms exhibited significant variation across individual host trees and populations that was strongly driven by environmental and spatial factors. The results demonstrated the existence of a dominant and ubiquitous core microbiome in the phyllosphere of manuka.\nIt seems that weak polarizations are ordinarily unable to form a component of a vector soliton. However, due to the cross-polarization modulation between strong and weak polarization components, a \"weak soliton\" could also be formed. It thus demonstrates that the soliton obtained is not a \"scalar\" soliton with a linear polarization mode, but rather a vector soliton with a large ellipticity.\nThe GAMtools command gamtools compaction can be used to calculate an estimation of chromatin compaction. Compaction is a value assigned to a gene that represents how large the gene is. The level of compaction is inversely proportional to the locus volume. Genomic loci with a low volume are said to have a high level of compaction, and loci with a high volume have a low level of compaction."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
