abhishek HF staff commited on
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Commit From AutoNLP

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.gitattributes CHANGED
@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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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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+ - nurkayevaa/autonlp-data-bert-covid
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+ co2_eq_emissions: 10.719439124704492
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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: 407910467
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+ - CO2 Emissions (in grams): 10.719439124704492
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.12029844522476196
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+ - Accuracy: 0.9516339869281045
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+ - Precision: 0.9477786438035853
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+ - Recall: 0.9650793650793651
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+ - AUC: 0.9907376734912967
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+ - F1: 0.9563507668108534
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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/nurkayevaa/autonlp-bert-covid-407910467
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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("nurkayevaa/autonlp-bert-covid-407910467", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("nurkayevaa/autonlp-bert-covid-407910467", 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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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "id2label": {
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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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