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MMars
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camelbert-mix_flodusta

Text Classification
Transformers
PyTorch
Arabic
bert
Trained with AutoTrain
text-embeddings-inference
Model card Files
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@@ -60,9 +60,9 @@ 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-camelbert-mix_flodusta-2783082152", use_auth_token=True)
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- tokenizer = AutoTokenizer.from_pretrained("MMars/autotrain-camelbert-mix_flodusta-2783082152", use_auth_token=True)
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  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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  ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("MMars/camelbert-mix_flodusta", use_auth_token=True)
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+ tokenizer = AutoTokenizer.from_pretrained("MMars/camelbert-mix_flodusta", use_auth_token=True)
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  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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