sampathkethineedi
/

industry-classification

Text Classification

Model card Files Files and versions Community

system HF staff commited on Jul 16, 2020

Commit

9914232

•

1 Parent(s): fe41e2d

Update README.md

Files changed (1) hide show

README.md +5 -4

README.md CHANGED Viewed

@@ -6,9 +6,10 @@ tags:
 - pytorch
 - tensorflow
 - text-classification
-- industry tags
-- buisiness description
-- multi-label
 - classification
 liscence: "mit"
 inference: false
@@ -29,7 +30,7 @@ PyTorch and TF models available
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 tokenizer = AutoTokenizer.from_pretrained("sampathkethineedi/industry-classification")
-model = AutoModelForSequenceClassification.from_pretrained("industry-classification")
 industry_tags = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
 industry_tags("Stellar Capital Services Limited is an India-based non-banking financial company ... loan against property, management consultancy, personal loans and unsecured loans.")

 - pytorch
 - tensorflow
 - text-classification
+- industry
+- buisiness
+- description
+- multi-class
 - classification
 liscence: "mit"
 inference: false
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 tokenizer = AutoTokenizer.from_pretrained("sampathkethineedi/industry-classification")
+model = AutoModelForSequenceClassification.from_pretrained("sampathkethineedi/industry-classification")
 industry_tags = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
 industry_tags("Stellar Capital Services Limited is an India-based non-banking financial company ... loan against property, management consultancy, personal loans and unsecured loans.")