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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: 43.427828005213314
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---
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- Problem type: Binary Classification
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- Model ID: 864927555
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- CO2 Emissions (in grams): 43.427828005213314
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## Validation Metrics
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- Loss: 0.17481304705142975
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- Accuracy: 0.936
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- Precision: 0.9526578073089701
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tokenizer = AutoTokenizer.from_pretrained("anwesham/autotrain-imdb-sentiment-analysis-864927555", use_auth_token=True)
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inputs = tokenizer("I love
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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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## Description
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- Problem type: Binary Classification
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## Validation Metrics
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- Loss: 0.17481304705142975
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- Accuracy: 0.936
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- Precision: 0.9526578073089701
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tokenizer = AutoTokenizer.from_pretrained("anwesham/autotrain-imdb-sentiment-analysis-864927555", use_auth_token=True)
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inputs = tokenizer("I love to eat good food and watch Moana.", return_tensors="pt")
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outputs = model(**inputs)
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```
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