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: unk
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- gabitoo1234/autonlp-data-mut_uchile
+co2_eq_emissions: 43.078469852595994
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 640218740
+- CO2 Emissions (in grams): 43.078469852595994
+
+## Validation Metrics
+
+- Loss: 0.8302136063575745
+- Accuracy: 0.7887341933835739
+- Macro F1: 0.5756730305293746
+- Micro F1: 0.7887341933835739
+- Weighted F1: 0.7878942570915727
+- Macro Precision: 0.620883634472996
+- Micro Precision: 0.7887341933835739
+- Weighted Precision: 0.8009430092038783
+- Macro Recall: 0.5521761315904072
+- Micro Recall: 0.7887341933835739
+- Weighted Recall: 0.7887341933835739
+
+
+## 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/gabitoo1234/autonlp-mut_uchile-640218740
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("gabitoo1234/autonlp-mut_uchile-640218740", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("gabitoo1234/autonlp-mut_uchile-640218740", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+  "_name_or_path": "AutoNLP",
+  "_num_labels": 28,
+  "architectures": [
+    "BertForSequenceClassification"
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+  "max_length": 192,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31002
+}

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special_tokens_map.json

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tokenizer_config.json

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