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🦊 Foxy-Core sentiment v2.0.0

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Files changed (7) hide show
  1. README.md +41 -0
  2. config.json +50 -0
  3. model.safetensors +3 -0
  4. sent2id.json +7 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +14 -0
  7. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ language:
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+ - pt
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+ license: apache-2.0
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+ tags:
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+ - foxy-core
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+ - nlp
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+ - chatbot
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+ - portuguese
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+ - sentiment
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # 🦊 Foxy-Core — SENTIMENT v2.0.0
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+
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+ Motor NLP central para chatbots multi-vertical.
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+
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+ ## Uso
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ pipe = pipeline(
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+ "text-classification",
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+ model="MattosDev/foxy-core-sentiment"
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+ )
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+
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+ result = pipe("quero fazer um pedido")
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+ print(result)
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+ ```
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+ Verticais suportadas
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+
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+ 🏥 Farmácias
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+
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+ 🍔 Fast Foods
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+
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+ 💻 Tecnologia
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+
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+ Base Model
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+
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+ BERTimbau (neuralmind/bert-base-portuguese-cased)
config.json ADDED
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+ {
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": null,
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+ "directionality": "bidi",
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+ "dtype": "float32",
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+ "eos_token_id": null,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "muito_negativo",
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+ "1": "negativo",
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+ "2": "neutro",
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+ "3": "positivo",
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+ "4": "muito_positivo"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "is_decoder": false,
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+ "label2id": {
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+ "muito_negativo": 0,
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+ "muito_positivo": 4,
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+ "negativo": 1,
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+ "neutro": 2,
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+ "positivo": 3
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "problem_type": "single_label_classification",
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.0.0",
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+ "type_vocab_size": 2,
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+ "use_cache": false,
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+ }
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+ "positivo": 3,
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