sentence-transformers
/

all-MiniLM-L6-v2

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

Model card Files Files and versions Community

Resources

View closed (34)

Guide for creating openvino and qint8 for hf model

#89 opened 9 days ago by

支持中文吗

#88 opened 15 days ago by

ONNX Models

#82 opened about 2 months ago by

Request: DOI

#81 opened about 2 months ago by

Hyperparameter tuning using Sagemaker

#80 opened about 2 months ago by

Similarity Search Type

#77 opened 3 months ago by

Truncating Text

#76 opened 3 months ago by

Trying to run this model locally, on my machine

#75 opened 3 months ago by

Conversion to Tensorflow lite

#74 opened 4 months ago by

Why is an Opensource OS like FreeBSD not supported ?

#73 opened 4 months ago by

can I use api to get the embeddings?

#72 opened 4 months ago by

I'm trying to run this model in the browser using wonnx, but it isn't working

#71 opened 4 months ago by

Does the model take our data and use our data to improve itself or for some other purpose?

#70 opened 4 months ago by

Request: DOI

#69 opened 5 months ago by

Request: DOI

#68 opened 5 months ago by

Onnx model doesn't produce embeddings close enough to SentenceTransformer version

#67 opened 5 months ago by

Model Card describes input size as 256 but Tokenizer is using 512 & output names of model changed

#66 opened 5 months ago by

512 seq length version

#65 opened 6 months ago by

Semantic similarity between two texts !

#63 opened 6 months ago by

BetterTransformer

#62 opened 7 months ago by

ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host

#61 opened 7 months ago by

[AUTOMATED] Model Memory Requirements

#60 opened 7 months ago by

model-sizer-bot

Comparison to all-MiniLM-L12-v2

#58 opened 7 months ago by

Matching pdf with keywords

#57 opened 7 months ago by

Can't load the configuration of 'sentence-transformers/all-MiniLM-L6-v2'

#55 opened 7 months ago by

Embeddings quality for inputs longer than 128 tokens

#52 opened 9 months ago by

Has all-MiniLM-L6-v2 ever changed it's architecture? I have two different models

#49 opened 9 months ago by

🚩 Report: Ethical issue(s)

#45 opened 10 months ago by

model in closed network

#43 opened 10 months ago by

sentence similarity between spacy and sentence-transformer

#42 opened 10 months ago by

Memory is becoming fully exhausted during the generation of embeddings, leading to a complete server crash.

#41 opened 11 months ago by

vobbilisettyjayadeep

Adding ONNX file of this model

#40 opened 11 months ago by

[AUTOMATED] Model Memory Requirements

#39 opened 12 months ago by

model-sizer-bot

input embeddings, output similarity. Can this be done through an inference endpoint?

#38 opened 12 months ago by

Do these semantic sentence embeddings produce better results than semantic word embeddings?

#37 opened about 1 year ago by

Can I calculate the sentence similarity for the French text?

#36 opened about 1 year ago by

Segmentation Fault

#35 opened about 1 year ago by

License and commercial usage

#34 opened about 1 year ago by

German Use Case

#33 opened about 1 year ago by

How do I convert the model into tflite and use it for sentence similarity

#31 opened about 1 year ago by

Request: DOI

#30 opened about 1 year ago by

samuelelotruglio

CoreML

#29 opened about 1 year ago by

How can I get the first element of model_output from the second element?

#27 opened over 1 year ago by

The model's performance

#25 opened over 1 year ago by

Hardware requirements for using sentence-transformers/all-MiniLM-L6-v2

#22 opened over 1 year ago by

Adding `safetensors` variant of this model

#21 opened over 1 year ago by

Upload model.onnx

#19 opened over 1 year ago by

Using embeddings to do sentence similarity

#16 opened over 1 year ago by

Where to download training data from?

#15 opened over 1 year ago by

How to input more text? By default, input text longer than 256 word pieces is truncated.

#14 opened over 1 year ago by