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**What did you find confusing? Please describe.**
Hi, I was following the document to create a Pytorch Based processing pipeline where I will load certain model from hugging face and process bunch of…
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Hi,
I'm trying to use the intfloat/multilingual-e5-base model but it can't load and the logs show me the following error.
Help would be greatly appreciated as I am in dire need of using multi-…
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### Feature request
This RFC proposes integrating a lossless compression method called ZipNN into Hugging Face Transformers to reduce latency and traffic for downloading models. ZipNN is specifically…
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**Describe the bug**
While running Semantic Deduplication on text files, it starts semantic dedupe pipeline, but runs into `IndexError: list index out of range`
Error Log
```
GPU: 0, Part: 20: 100%|█…
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I have a very simple application to expose the Sentence Transformer.
fastapi==0.52.0
sentence-transformers==1.2.0 ( I tried with v2.0)
python=3.6.5
`
from fastapi import FastAPI
from sentence_…
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### .env
# Generic
TEXT_EMBEDDINGS_MODEL=sentence-transformers/all-MiniLM-L6-v2
TEXT_EMBEDDINGS_MODEL_TYPE=HF # LlamaCpp or HF
USE_MLOCK=false
# Ingestion
PERSIST_DIRECTORY=db
DOCUMENTS_DIRE…
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I was wondering if there's any possibility of adding an OpenAI-compatible embedding endpoint, or if that wouldn't make sense with the underlying models.
My goal is to be able to swap out our OpenA…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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## Machine Specs
Device: Macbook Pro
CPU: Apple M3 Pro
Memory: 18GB
OS: MacOS Sonoma
## Problem
I'm working with one of your 80MB models, the embeddings are great, but the performance could be…
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**Describe**
Model I am using (UniLM, MiniLM, LayoutLM ...): E5
hello. I am a student studying sentence similarity.
“Paper: Text Embeddings by Weakly-Supervised Contrastive Pre-training”
Whi…