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Commit From AutoTrain

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.gitattributes CHANGED
@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - token-classification
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+ language:
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+ - unk
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+ widget:
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+ - text: "I love AutoTrain 🤗"
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+ datasets:
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+ - teacookies/autotrain-data-21-12-2022_rated_speed2
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+ co2_eq_emissions:
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+ emissions: 14.90637346423708
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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: Entity Extraction
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+ - Model ID: 2557778169
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+ - CO2 Emissions (in grams): 14.9064
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.001
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+ - Accuracy: 1.000
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+ - Precision: 0.991
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+ - Recall: 0.992
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+ - F1: 0.991
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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/teacookies/autotrain-21-12-2022_rated_speed2-2557778169
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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 AutoModelForTokenClassification, AutoTokenizer
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+
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+ model = AutoModelForTokenClassification.from_pretrained("teacookies/autotrain-21-12-2022_rated_speed2-2557778169", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("teacookies/autotrain-21-12-2022_rated_speed2-2557778169", 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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+ "_name_or_path": "AutoTrain",
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+ "BertForTokenClassification"
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+ ],
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+ "directionality": "bidi",
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "B-tec_rated_speed_max",
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+ "1": "B-tec_rated_speed_min",
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+ "2": "I-tec_rated_speed_max",
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+ "3": "I-tec_rated_speed_min",
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+ "4": "O"
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+ },
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_length": 512,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 105879
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+ }
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vocab.txt ADDED
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