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Update README.md

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  ---
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- tags: autotrain
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  language: unk
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- widget:
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- - text: "I love AutoTrain 🤗"
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  datasets:
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  - anwesham/autotrain-data-imdb-sentiment-analysis
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  co2_eq_emissions: 0.2033402242358345
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  ---
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- # Model Trained Using AutoTrain
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-
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  - Problem type: Binary Classification
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  - Model ID: 864927559
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  - CO2 Emissions (in grams): 0.2033402242358345
@@ -40,7 +35,7 @@ model = AutoModelForSequenceClassification.from_pretrained("anwesham/autotrain-i
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  tokenizer = AutoTokenizer.from_pretrained("anwesham/autotrain-imdb-sentiment-analysis-864927559", use_auth_token=True)
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- inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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  outputs = model(**inputs)
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  ```
 
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  ---
 
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  language: unk
 
 
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  datasets:
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  - anwesham/autotrain-data-imdb-sentiment-analysis
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  co2_eq_emissions: 0.2033402242358345
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  ---
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  - Problem type: Binary Classification
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  - Model ID: 864927559
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  - CO2 Emissions (in grams): 0.2033402242358345
 
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  tokenizer = AutoTokenizer.from_pretrained("anwesham/autotrain-imdb-sentiment-analysis-864927559", use_auth_token=True)
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+ inputs = tokenizer("I love to eat food", return_tensors="pt")
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  outputs = model(**inputs)
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  ```