Upload pytorch_model.bin & config.json

config.json

@@ -0,0 +1,200 @@
+{
+  "_name_or_path": "TimSchopf/specter2_nlp_classifier",
+  "adapters": {
+    "adapters": {},
+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Multilinguality",
+    "1": "Term Extraction",
+    "2": "Cognitive Modeling",
+    "3": "Information Extraction & Text Mining",
+    "4": "Responsible & Trustworthy NLP",
+    "5": "Numerical Reasoning",
+    "6": "Phonology",
+    "7": "Code-Switching",
+    "8": "Reasoning",
+    "9": "Topic Modeling",
+    "10": "Speech Recognition",
+    "11": "Natural Language Interfaces",
+    "12": "Representation Learning",
+    "13": "Coreference Resolution",
+    "14": "Dialogue Response Generation",
+    "15": "Syntactic Text Processing",
+    "16": "Data-to-Text Generation",
+    "17": "Ethical NLP",
+    "18": "Knowledge Representation",
+    "19": "Cross-Lingual Transfer",
+    "20": "Visual Data in NLP",
+    "21": "Text Segmentation",
+    "22": "Textual Inference",
+    "23": "Aspect-based Sentiment Analysis",
+    "24": "Information Retrieval",
+    "25": "Open Information Extraction",
+    "26": "Text Error Correction",
+    "27": "Question Answering",
+    "28": "Syntactic Parsing",
+    "29": "Text Clustering",
+    "30": "Summarization",
+    "31": "Event Extraction",
+    "32": "Paraphrasing",
+    "33": "Polarity Analysis",
+    "34": "Named Entity Recognition",
+    "35": "Text Style Transfer",
+    "36": "Text Classification",
+    "37": "Machine Reading Comprehension",
+    "38": "Dialogue Systems & Conversational Agents",
+    "39": "Captioning",
+    "40": "Semantic Parsing",
+    "41": "Semantic Search",
+    "42": "Text Complexity",
+    "43": "Chunking",
+    "44": "Code Generation",
+    "45": "Typology",
+    "46": "Fact & Claim Verification",
+    "47": "Text Generation",
+    "48": "Linguistics & Cognitive NLP",
+    "49": "Opinion Mining",
+    "50": "Structured Data in NLP",
+    "51": "Machine Translation",
+    "52": "Language Models",
+    "53": "Semantic Similarity",
+    "54": "Knowledge Graph Reasoning",
+    "55": "Programming Languages in NLP",
+    "56": "Document Retrieval",
+    "57": "Linguistic Theories",
+    "58": "Robustness in NLP",
+    "59": "Text Normalization",
+    "60": "Argument Mining",
+    "61": "Emotion Analysis",
+    "62": "Commonsense Reasoning",
+    "63": "Tagging",
+    "64": "Phonetics",
+    "65": "Word Sense Disambiguation",
+    "66": "Passage Retrieval",
+    "67": "Stylistic Analysis",
+    "68": "Green & Sustainable NLP",
+    "69": "Indexing",
+    "70": "Speech & Audio in NLP",
+    "71": "Discourse & Pragmatics",
+    "72": "Semantic Text Processing",
+    "73": "Morphology",
+    "74": "Multimodality",
+    "75": "Relation Extraction",
+    "76": "Question Generation",
+    "77": "Psycholinguistics",
+    "78": "Sentiment Analysis",
+    "79": "Intent Recognition",
+    "80": "Low-Resource NLP",
+    "81": "Explainability & Interpretability in NLP"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Argument Mining": 60,
+    "Aspect-based Sentiment Analysis": 23,
+    "Captioning": 39,
+    "Chunking": 43,
+    "Code Generation": 44,
+    "Code-Switching": 7,
+    "Cognitive Modeling": 2,
+    "Commonsense Reasoning": 62,
+    "Coreference Resolution": 13,
+    "Cross-Lingual Transfer": 19,
+    "Data-to-Text Generation": 16,
+    "Dialogue Response Generation": 14,
+    "Dialogue Systems & Conversational Agents": 38,
+    "Discourse & Pragmatics": 71,
+    "Document Retrieval": 56,
+    "Emotion Analysis": 61,
+    "Ethical NLP": 17,
+    "Event Extraction": 31,
+    "Explainability & Interpretability in NLP": 81,
+    "Fact & Claim Verification": 46,
+    "Green & Sustainable NLP": 68,
+    "Indexing": 69,
+    "Information Extraction & Text Mining": 3,
+    "Information Retrieval": 24,
+    "Intent Recognition": 79,
+    "Knowledge Graph Reasoning": 54,
+    "Knowledge Representation": 18,
+    "Language Models": 52,
+    "Linguistic Theories": 57,
+    "Linguistics & Cognitive NLP": 48,
+    "Low-Resource NLP": 80,
+    "Machine Reading Comprehension": 37,
+    "Machine Translation": 51,
+    "Morphology": 73,
+    "Multilinguality": 0,
+    "Multimodality": 74,
+    "Named Entity Recognition": 34,
+    "Natural Language Interfaces": 11,
+    "Numerical Reasoning": 5,
+    "Open Information Extraction": 25,
+    "Opinion Mining": 49,
+    "Paraphrasing": 32,
+    "Passage Retrieval": 66,
+    "Phonetics": 64,
+    "Phonology": 6,
+    "Polarity Analysis": 33,
+    "Programming Languages in NLP": 55,
+    "Psycholinguistics": 77,
+    "Question Answering": 27,
+    "Question Generation": 76,
+    "Reasoning": 8,
+    "Relation Extraction": 75,
+    "Representation Learning": 12,
+    "Responsible & Trustworthy NLP": 4,
+    "Robustness in NLP": 58,
+    "Semantic Parsing": 40,
+    "Semantic Search": 41,
+    "Semantic Similarity": 53,
+    "Semantic Text Processing": 72,
+    "Sentiment Analysis": 78,
+    "Speech & Audio in NLP": 70,
+    "Speech Recognition": 10,
+    "Structured Data in NLP": 50,
+    "Stylistic Analysis": 67,
+    "Summarization": 30,
+    "Syntactic Parsing": 28,
+    "Syntactic Text Processing": 15,
+    "Tagging": 63,
+    "Term Extraction": 1,
+    "Text Classification": 36,
+    "Text Clustering": 29,
+    "Text Complexity": 42,
+    "Text Error Correction": 26,
+    "Text Generation": 47,
+    "Text Normalization": 59,
+    "Text Segmentation": 21,
+    "Text Style Transfer": 35,
+    "Textual Inference": 22,
+    "Topic Modeling": 9,
+    "Typology": 45,
+    "Visual Data in NLP": 20,
+    "Word Sense Disambiguation": 65
+  },
+  "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",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31090
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d79fb2400aea6e6cbfd6813c29fe02128f585c4e59ca73d7547f9bb13459a04
+size 439996085