MMars
/

marbertv2_flodusta

Text Classification

Trained with AutoTrain

Model card Files Files and versions

MMars commited on Jan 8, 2023

Commit

c173ced

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1 Parent(s): da7ba36

Update README.md

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README.md +3 -3

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@@ -5,7 +5,7 @@ tags:
 language:
 - ar
 widget:
-- text: I love AutoTrain 🤗
 datasets:
 - MMars/autotrain-data-marbertv2_flodusta
 co2_eq_emissions:
@@ -51,9 +51,9 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-model = AutoModelForSequenceClassification.from_pretrained("MMars/autotrain-marbertv2_flodusta-2782682135", use_auth_token=True)
-tokenizer = AutoTokenizer.from_pretrained("MMars/autotrain-marbertv2_flodusta-2782682135", use_auth_token=True)
 inputs = tokenizer("I love AutoTrain", return_tensors="pt")

 language:
 - ar
 widget:
+- text: مطر غزير على شوارع العاصمة المقدسة.
 datasets:
 - MMars/autotrain-data-marbertv2_flodusta
 co2_eq_emissions:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
+model = AutoModelForSequenceClassification.from_pretrained("MMars/marbertv2_flodusta", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("MMars/marbertv2_flodusta", use_auth_token=True)
 inputs = tokenizer("I love AutoTrain", return_tensors="pt")