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Commit From AutoTrain

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.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ tags: autotrain
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+ language: en
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+ widget:
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+ - text: "I love AutoTrain 🤗"
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+ datasets:
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+ - ameerazam08/autotrain-data-imdb
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+ co2_eq_emissions: 0.07308302140406821
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+ ---
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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: 1166543171
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+ - CO2 Emissions (in grams): 0.07308302140406821
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.2211569994688034
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+ - Accuracy: 0.9138
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+ - Precision: 0.9020598523124758
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+ - Recall: 0.9284
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+ - AUC: 0.9711116000000001
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+ - F1: 0.9150404100137985
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+
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+ ## Usage
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+
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+ You can use cURL to access this model:
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+
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+ ```
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+ $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/ameerazam08/autotrain-imdb-1166543171
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+ ```
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+
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+ Or Python API:
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+
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+ ```
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+
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+ model = AutoModelForSequenceClassification.from_pretrained("ameerazam08/autotrain-imdb-1166543171", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("ameerazam08/autotrain-imdb-1166543171", use_auth_token=True)
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+
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+ inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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+
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+ outputs = model(**inputs)
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+ ```
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+ "activation": "gelu",
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+ "DistilBertForSequenceClassification"
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+ "hidden_dim": 3072,
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+ "n_layers": 6,
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+ "problem_type": "single_label_classification",
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+ "qa_dropout": 0.1,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.20.0",
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+ "vocab_size": 30522
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+ }
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tokenizer.json ADDED
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