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Commit From AutoTrain

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.gitattributes CHANGED
@@ -33,3 +33,6 @@ 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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+ - callebergstrom/autotrain-data-bert-political-statements-and-questions-swedish-ner
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+ co2_eq_emissions:
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+ emissions: 0.1436872980177535
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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: 69812137999
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+ - CO2 Emissions (in grams): 0.1437
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.000
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+ - Accuracy: 1.000
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+ - Precision: 1.000
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+ - Recall: 0.999
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+ - F1: 0.999
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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/callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999
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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("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", 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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+ "gradient_checkpointing": false,
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+ "hidden_size": 768,
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_length": 64,
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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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+ "output_past": true,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ }
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