MMars
/

arabertv2_flodusta

Text Classification

Trained with AutoTrain

Model card Files Files and versions

MMars commited on Jan 8, 2023

Commit

2dd6248

·

1 Parent(s): 1a8b8dc

Update README.md

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README.md +3 -3

README.md CHANGED Viewed

@@ -5,7 +5,7 @@ tags:
 language:
 - unk
 widget:
-- text: "I love AutoTrain 🤗"
 datasets:
 - MMars/autotrain-data-arabertv2_flodusta
 co2_eq_emissions:
@@ -46,9 +46,9 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-model = AutoModelForSequenceClassification.from_pretrained("MMars/autotrain-arabertv2_flodusta-2782582128", use_auth_token=True)
-tokenizer = AutoTokenizer.from_pretrained("MMars/autotrain-arabertv2_flodusta-2782582128", use_auth_token=True)
 inputs = tokenizer("I love AutoTrain", return_tensors="pt")

 language:
 - unk
 widget:
+- text: "مطر غزير على شوارع العاصمة المقدسة."
 datasets:
 - MMars/autotrain-data-arabertv2_flodusta
 co2_eq_emissions:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
+model = AutoModelForSequenceClassification.from_pretrained("MMars/arabertv2_flodusta", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("MMars/arabertv2_flodusta", use_auth_token=True)
 inputs = tokenizer("I love AutoTrain", return_tensors="pt")