Hugging Face's logo

automatedMotiveCoder
/
setfit

Text Classification
setfit
Safetensors
sentence-transformers
multilingual
xlm-roberta
text-embeddings-inference
Model card Files
xet
 Community
mbrede commited on
Commit
990b366
·
verified ·
1 Parent(s): 6d8ccba

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ language:
16
  - multilingual
17
  ---
18
 
19
- # SetFit with mbrede/amc_setfit
20
 
21
  This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses a finetuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A OneVsRestClassifier instance with SGDClassifier estimators is used for classification.
22
 
 
16
  - multilingual
17
  ---
18
 
19
+ # Automated Motive Coder with intfloat/multilingual-e5-large as base
20
 
21
  This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses a finetuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A OneVsRestClassifier instance with SGDClassifier estimators is used for classification.
22