autonlp-admin
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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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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: unk
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - evandrodiniz/autonlp-data-api-boamente
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+ co2_eq_emissions: 6.826886567147602
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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: 417310788
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+ - CO2 Emissions (in grams): 6.826886567147602
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.20949310064315796
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+ - Accuracy: 0.9578392621870883
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+ - Precision: 0.9476190476190476
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+ - Recall: 0.9045454545454545
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+ - AUC: 0.9714032720526227
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+ - F1: 0.9255813953488372
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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/evandrodiniz/autonlp-api-boamente-417310788
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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("evandrodiniz/autonlp-api-boamente-417310788", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("evandrodiniz/autonlp-api-boamente-417310788", 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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+ "_name_or_path": "AutoNLP",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "directionality": "bidi",
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "negative",
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+ "1": "positive"
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "label2id": {
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_length": 192,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "padding": "max_length",
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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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": 2,
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+ "use_cache": true,
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+ "vocab_size": 29794
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+ }
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tokenizer.json ADDED
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vocab.txt ADDED
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