Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,49 @@
+---
+tags:
+- autotrain
+- token-classification
+language:
+- unk
+widget:
+- text: "I love AutoTrain"
+datasets:
+- drvenabili/autotrain-data-turku-ner
+co2_eq_emissions:
+  emissions: 0.2165403288824756
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Entity Extraction
+- Model ID: 65992136346
+- CO2 Emissions (in grams): 0.2165
+
+## Validation Metrics
+
+- Loss: 0.075
+- Accuracy: 0.982
+- Precision: 0.879
+- Recall: 0.868
+- F1: 0.873
+
+## 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 AutoTrain"}' https://api-inference.huggingface.co/models/drvenabili/autotrain-turku-ner-65992136346
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForTokenClassification, AutoTokenizer
+
+model = AutoModelForTokenClassification.from_pretrained("drvenabili/autotrain-turku-ner-65992136346", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("drvenabili/autotrain-turku-ner-65992136346", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,58 @@
+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 13,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-DATE",
+    "1": "B-EVENT",
+    "2": "B-LOC",
+    "3": "B-ORG",
+    "4": "B-PER",
+    "5": "B-PRO",
+    "6": "I-DATE",
+    "7": "I-EVENT",
+    "8": "I-LOC",
+    "9": "I-ORG",
+    "10": "I-PER",
+    "11": "I-PRO",
+    "12": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-DATE": 0,
+    "B-EVENT": 1,
+    "B-LOC": 2,
+    "B-ORG": 3,
+    "B-PER": 4,
+    "B-PRO": 5,
+    "I-DATE": 6,
+    "I-EVENT": 7,
+    "I-LOC": 8,
+    "I-ORG": 9,
+    "I-PER": 10,
+    "I-PRO": 11,
+    "O": 12
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 192,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50101
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:320226284c8aeb93ba3d3fa1a32dda50d171e8b07a5bb4a3ae24a6d508feac3f
+size 495780812

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c397d6a7eee1414113c3316079f4ec431dfb5418a25c44ef983c78d171bad44
+size 495825389

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0da6474086fced72583c088fe2a83d78e5cda171c659039d143c6d3bdeb3ac16
+size 1220886

tokenizer_config.json

@@ -0,0 +1,13 @@
+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}