abhishek HF staff commited on
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Commit From AutoNLP

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.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: en
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - juliensimon/autonlp-data-imdb-demo-hf
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+ ---
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+
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+ # Model Trained Using AutoNLP
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+
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+ - Problem type: Binary Classification
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+ - Model ID: 16622775
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.18653589487075806
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+ - Accuracy: 0.9408
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+ - Precision: 0.9537643207855974
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+ - Recall: 0.9272076372315036
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+ - AUC: 0.985847396174344
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+ - F1: 0.9402985074626865
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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 AutoNLP"}' https://api-inference.huggingface.co/models/juliensimon/autonlp-imdb-demo-hf-16622775
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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("juliensimon/autonlp-imdb-demo-hf-16622775", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("juliensimon/autonlp-imdb-demo-hf-16622775", use_auth_token=True)
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+
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+ inputs = tokenizer("I love AutoNLP", return_tensors="pt")
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+
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+ outputs = model(**inputs)
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+ ```
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+ "hidden_size": 768,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 1,
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+ "padding": "max_length",
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "transformers_version": "4.8.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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