add Aleph-Alpha-GermanWeb-Quality-Classifier-BERT model config

README.md

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+---
+language:
+- de
+base_model:
+- google-bert/bert-base-uncased
+---
+# Aleph-Alpha-GermanWeb-Quality-Classifier-BERT
+
+## Example Snippet
+
+```python
+import torch
+from transformers import BertTokenizer, BertForSequenceClassification
+
+device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
+
+model = BertForSequenceClassification.from_pretrained("Aleph-Alpha/Aleph-Alpha-GermanWeb-Quality-Classifier-BERT", num_labels=5).to(device)
+model.eval()
+
+tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
+
+# disclaimer: short text is not in the model distribution
+text = 'Das ist ein Beispieltext, um die Qualität zu überprüfen.'
+
+target_names = ['Quality Score 1', 'Quality Score 2', 'Quality Score 3', 'Quality Score 4', 'Quality Score 5']
+
+with torch.no_grad():
+    prediction = torch.argmax(
+                    model(**tokenizer(text, return_tensors='pt', truncation=True, padding=True).to(device)).logits
+                ).item()
+print(target_names[prediction])
+```

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22a01ce11cc3ac127d758b2a997be73506a902ce2f153c7682097a6178f50085
+size 437967876