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aequa-tech
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flame-it

Text Classification
Transformers
PyTorch
Safetensors
Italian
bert
flame
Model card Files
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@@ -67,7 +67,7 @@ News Headlines:
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  - Accelerate 0.30.0
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  # How to use this model:
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- ```
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  model = AutoModelForSequenceClassification.from_pretrained('aequa-tech/flame-it',num_labels=2)
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  tokenizer = AutoTokenizer.from_pretrained("m-polignano-uniba/bert_uncased_L-12_H-768_A-12_italian_alb3rt0")
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  classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
 
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  - Accelerate 0.30.0
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  # How to use this model:
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+ ```Python
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  model = AutoModelForSequenceClassification.from_pretrained('aequa-tech/flame-it',num_labels=2)
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  tokenizer = AutoTokenizer.from_pretrained("m-polignano-uniba/bert_uncased_L-12_H-768_A-12_italian_alb3rt0")
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  classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)