Text Generation
sentence-transformers
English
rag
retrieval-augmented-generation
fastapi
react
chromadb
banking
document-intelligence
vector-search
Instructions to use thilakx/Bankoflibreo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use thilakx/Bankoflibreo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thilakx/Bankoflibreo") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
File size: 982 Bytes
acee10a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | // Copyright 2017 Lovell Fuller and others.
// SPDX-License-Identifier: Apache-2.0
'use strict';
const interpreterPath = (elf) => {
if (elf.length < 64) {
return null;
}
if (elf.readUInt32BE(0) !== 0x7F454C46) {
// Unexpected magic bytes
return null;
}
if (elf.readUInt8(4) !== 2) {
// Not a 64-bit ELF
return null;
}
if (elf.readUInt8(5) !== 1) {
// Not little-endian
return null;
}
const offset = elf.readUInt32LE(32);
const size = elf.readUInt16LE(54);
const count = elf.readUInt16LE(56);
for (let i = 0; i < count; i++) {
const headerOffset = offset + (i * size);
const type = elf.readUInt32LE(headerOffset);
if (type === 3) {
const fileOffset = elf.readUInt32LE(headerOffset + 8);
const fileSize = elf.readUInt32LE(headerOffset + 32);
return elf.subarray(fileOffset, fileOffset + fileSize).toString().replace(/\0.*$/g, '');
}
}
return null;
};
module.exports = {
interpreterPath
};
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