Hkunlp
WebAbout org cards. Welcome to HKU NLP group! We are a group of researchers working on natural language processing in the Department of Computer Science at the University of Hong Kong. Check out our website. WebProGen/generation.py. Go to file. Cannot retrieve contributors at this time. 88 lines (80 sloc) 4.32 KB. Raw Blame. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # …
Hkunlp
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WebBatch Prompting. This is the official implementation of the batch prompting paper: Batch Prompting: Efficient Inference with Large Language Model APIs.Batch prompting is a simple alternative prompting approach that enables the LLM to run inference in batches, instead of one sample at a time. Webhkunlp/instructor-large We introduce Instructor👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, …
WebHKUNLP/UnifiedSKG is licensed under the Apache License 2.0. A permissive license whose main conditions require preservation of copyright and license notices. Contributors provide an express grant of patent rights. Licensed works, modifications, and larger works may be distributed under different terms and without source code. WebApr 13, 2024 · To use, you should have the ``sentence_transformers`` and ``InstructorEmbedding`` python package installed. Example: .. code-block:: python from langchain.embeddings import HuggingFaceInstructEmbeddings model_name = "hkunlp/instructor-large" hf = HuggingFaceInstructEmbeddings …
WebHKUNLP/ProGen. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. main. Switch branches/tags. Branches Tags. Could not load branches. Nothing to show {{ refName }} default View all branches. Could not load tags. Nothing to show WebInstall fails, dependencies don't get installed · Issue #7 · HKUNLP/instructor-embedding · GitHub. HKUNLP instructor-embedding. Notifications. Fork.
Webhkunlp/instructor-large We introduce Instructor👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) by simply providing the task instruction, without any finetuning.Instructor👨 achieves sota on 70 …
WebOfficial data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation". - DS-1000/README.md at main · HKUNLP/DS-1000 how to skew a photo in paintWebCompositional Exemplars for In-context Learning. This repository contains the source code for CEIL, which is an in-context example retriever proposed in our paper “Compositional Exemplars for In-context Learning”, Besides, this repo also implements several learning-free (e.g., Random, BM25, TopK-BERT, TopK-DPP) and learning-based retrievers (e.g., EPR). how to size compression pantsWebApr 14, 2024 · field model_name: str = 'hkunlp/instructor-large' # Model name to use. field query_instruction: str = 'Represent the question for retrieving supporting documents: ' # Instruction to use for embedding query. embed_documents (texts: List [str]) → List [List [float]] [source] # Compute doc embeddings using a HuggingFace instruct model. … how to skip bitlocker recovery stepWebDefinition. UHLP. Unified Home Lending Program (Philippines) UHLP. Urban Heaths Life Project (est. 2001; UK) how to skip someone on omegle laptopWebAbout org cards. Welcome to HKU NLP group! We are a group of researchers working on natural language processing in the Department of Computer Science at the University of … how to skin ets2Webhkunlp/instructor-base We introduce Instructor👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) by simply providing the task instruction, without any finetuning.Instructor👨 achieves sota on 70 … how to sleep in car thief simulatorWebMar 24, 2024 · Hi authors, I feel very interested in your series of works on data generation! Currently, I am trying to develop my workflow for data generation based on your researchs (ProGen/ZeroGen/SunGen). When I read through your code at main.py an... how to sketch people for beginners