Commit From AutoNLP

.gitattributes

@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,52 @@
+---
+tags: autonlp
+language: zh
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- kyleinincubated/autonlp-data-abbb
+co2_eq_emissions: 2.22514962526191
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 622117836
+- CO2 Emissions (in grams): 2.22514962526191
+
+## Validation Metrics
+
+- Loss: 1.2368708848953247
+- Accuracy: 0.7973333333333333
+- Macro F1: 0.46009076588978487
+- Micro F1: 0.7973333333333333
+- Weighted F1: 0.7712349116681224
+- Macro Precision: 0.4527155928883903
+- Micro Precision: 0.7973333333333333
+- Weighted Precision: 0.7610710955220162
+- Macro Recall: 0.4947868561369568
+- Micro Recall: 0.7973333333333333
+- Weighted Recall: 0.7973333333333333
+
+
+## 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/kyleinincubated/autonlp-abbb-622117836
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("kyleinincubated/autonlp-abbb-622117836", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-abbb-622117836", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,356 @@
+{
+  "_name_or_path": "AutoNLP",
+  "_num_labels": 158,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
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