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MMars
/
marbertv2_flodusta

Text Classification
Transformers
PyTorch
Arabic
bert
Trained with AutoTrain
Inference Endpoints
Model card Files Community
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MMars commited on
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Update README.md

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  1. README.md +3 -3
README.md CHANGED
@@ -5,7 +5,7 @@ tags:
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  language:
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  - ar
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  widget:
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- - text: I love AutoTrain 🤗
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  datasets:
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  - MMars/autotrain-data-marbertv2_flodusta
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  co2_eq_emissions:
@@ -51,9 +51,9 @@ Or Python API:
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  ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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- model = AutoModelForSequenceClassification.from_pretrained("MMars/autotrain-marbertv2_flodusta-2782682135", use_auth_token=True)
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- tokenizer = AutoTokenizer.from_pretrained("MMars/autotrain-marbertv2_flodusta-2782682135", use_auth_token=True)
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  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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  language:
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  - ar
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  widget:
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+ - text: مطر غزير على شوارع العاصمة المقدسة.
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  datasets:
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  - MMars/autotrain-data-marbertv2_flodusta
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  co2_eq_emissions:
 
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  ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("MMars/marbertv2_flodusta", use_auth_token=True)
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+ tokenizer = AutoTokenizer.from_pretrained("MMars/marbertv2_flodusta", use_auth_token=True)
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  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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