Instructions to use shashrao54/embedding-finetuning-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use shashrao54/embedding-finetuning-model with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("shashrao54/embedding-finetuning-model")

sentences = [
    "Explain conforms in this document.",
    "PHARMA PRODUCT DOSSIER (SYNTHETIC) Product: Amoxycillin Capsules 500 mg Indication: Treatment of bacterial infections (upper respiratory tract, urinary tract). Mechanism of Action: Beta-lactam antibiotic; inhibits bacterial cell wall synthesis. Contraindications: Hypersensitivity to penicillins; history of severe allergy. Warnings: Risk of anaphylaxis; monitor for rash; adjust dose in renal impairment. Dosage & Administration: - Adults: 500 mg every 8 hours. - Renal impairment: dose adjustment required based on creatinine clearance. Adverse Reactions: - Common: nausea, diarrhea, rash. - Serious: anaphylaxis, C. difficile-associated diarrhea (rare). CLINICAL OVERVIEW (SYNTHETIC) Clinical Summary: Efficacy shown in randomized controlled trials for susceptible organisms. Non-inferiority demonstrated versus comparator antibiotics in mild-to-moderate infections. Drug Interactions: - Probenecid increases amoxycillin levels by decreasing renal clearance. - Oral anticoagulants: monitor INR; may increase bleeding risk. Storage & Stability: Store below 25°C. Protect from moisture. Shelf life: 24 months. Quality Attributes: Assay: 95.0% to 105.0% of label claim. Dissolution: NLT 80% in 45 minutes (Q). MANUFACTURING & CMC (SYNTHETIC) Manufacturing Process: Blending -> Encapsulation -> In-process checks -> Packaging. Critical process parameters: blend uniformity, capsule fill weight, moisture control. Specifications: - Identification: conforms to reference standard. - Related substances: within limits. - Microbial limits: complies with pharmacopeial requirements. Packaging: Alu-Alu blister packs; carton labeling includes batch number and expiry date.",
    "Identification: conforms to reference standard. - Related substances: within limits. - Microbial limits: complies with pharmacopeial requirements. Packaging: Alu-Alu blister packs; carton labeling includes batch number and expiry date.",
    "Identification: conforms to reference standard. - Related substances: within limits. - Microbial limits: complies with pharmacopeial requirements. Packaging: Alu-Alu blister packs; carton labeling includes batch number and expiry date."
]
embeddings = model.encode(sentences)

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

Notebooks
Google Colab
Kaggle

embedding-finetuning-model / modules.json

shashrao54

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	[
	{
	"idx": 0,
	"name": "0",
	"path": "",
	"type": "sentence_transformers.base.modules.transformer.Transformer"
	},
	{
	"idx": 1,
	"name": "1",
	"path": "1_Pooling",
	"type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling"
	},
	{
	"idx": 2,
	"name": "2",
	"path": "2_Normalize",
	"type": "sentence_transformers.sentence_transformer.modules.normalize.Normalize"
	}
	]