Are these embeddings Contextualized Embeddings ? Contextualized Embeddings are embeddings such as in Transformers. Contextualized Embeddings are able to generate different vector representations for the differen
Also, the resulting instruction embeddings using sentence-transformers=3.0.1 is different from using sentence-transformers=2.2.2 which makes sense but leaving it here for completeness. BBC-Esq commented on Aug 13, 2024 BBC-Esq on Aug 13, 2024 Contributor The owners of this repository don't re...
26 + class INSTRUCTORPooling(nn.Module): 27 27 """Performs pooling (max or mean) on the token embeddings. 28 28 29 29 Using pooling, it generates from a variable sized sentence a fixed sized sentence embedding. @@ -245,7 +245,7 @@ def load(input_path): 245 245 ) as config_...
This is a challenging issue that I've been working on...First, here is my entire script: SCRIPT import shutil import yaml import gc from langchain_community.docstore.document import Document from langchain_community.embeddings import Hug...
File "C:\Users\Phx\Documents\GitHub\Localgpt\ingest.py", line 157, in main embeddings = HuggingFaceInstructEmbeddings( File "C:\Users\Phx.conda\envs\localGPT\lib\site-packages\langchain\embeddings\huggingface.py", line 148, ininit self.client = INSTRUCTOR( ...
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/langchain/embeddings/huggingface.py", line 125, in __init__ from InstructorEmbedding import INSTRUCTOR File "/Users/artur/instructor-embedding/InstructorEmbedding/__init__.py", line 1, in <module> ...
Chose "Instructor-Large" for the local embeddings model. Selected "N" for using local chat models and chose "OpenAI" with "gpt-4" as the remote LLM. Attempted to start thecodeqai searchby runningcodeqai searchin the terminal. Encountered the following error: ...