Commit From AutoNLP

.gitattributes

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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autonlp
+language: en
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- philschmid/autonlp-data-banking77_vs_comprehend
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 3102252
+
+## Validation Metrics
+
+- Loss: 0.2988220155239105
+- Accuracy: 0.9246753246753247
+- Macro F1: 0.9246117406953515
+- Micro F1: 0.9246753246753247
+- Weighted F1: 0.9246117406953518
+- Macro Precision: 0.9278163684429038
+- Micro Precision: 0.9246753246753247
+- Weighted Precision: 0.927816368442904
+- Macro Recall: 0.9246753246753248
+- Micro Recall: 0.9246753246753247
+- Weighted Recall: 0.9246753246753247
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ 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/philschmid/autonlp-banking77_vs_comprehend-3102252
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("philschmid/autonlp-banking77_vs_comprehend-3102252", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("philschmid/autonlp-banking77_vs_comprehend-3102252", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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special_tokens_map.json

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tokenizer_config.json

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