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README.md

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+# Entity Sentiment Analysis
+
+This model is fine-tuned for entity recognition and sentiment analysis.

config.json

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+{"architectures": ["BertForSequenceClassification"], "_name_or_path": "entity-sentiment-analysis", "attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "neutral", "1": "positive", "2": "negative"}, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"neutral": 0, "positive": 1, "negative": 2}, "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": "4.10.0", "type_vocab_size": 2, "use_cache": true, "vocab_size": 32000}

generation_config.json

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+{"do_sample": true, "max_length": 50, "top_k": 50, "top_p": 0.95}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bc03b9e192330cd2766f86f3deed6ddf2b74e5fbc6a68ca13a56a508c5b7537c
+size 440139580

special_tokens_map.json

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+{"cls_token": "[CLS]", "sep_token": "[SEP]", "pad_token": "[PAD]", "mask_token": "[MASK]", "unk_token": "[UNK]"}

tokenizer_config.json

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+{"do_sample": true, "max_length": 50, "top_k": 50, "top_p": 0.95}