Instructions to use warleygsantos/segmentation-observations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warleygsantos/segmentation-observations with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="warleygsantos/segmentation-observations")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("warleygsantos/segmentation-observations") model = AutoModelForSequenceClassification.from_pretrained("warleygsantos/segmentation-observations") - Notebooks
- Google Colab
- Kaggle
segmentation-observations
Browse files- config.json +10 -30
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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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": "
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"1": "
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"2": "
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"3": "
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"4": "
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"5": "COMPRADOR AUSENTE",
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"6": "N\u00c3O ATENDE",
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"7": "COMPRA COM OUTRO CNPJ",
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"8": "CLIENTE ABASTECIDO",
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"9": "LOGISTICA",
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"10": "COMPROU RECENTEMENTE",
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"11": "COMPRA NA CONCORRENCIA",
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"12": "COTA\u00c7\u00c3O",
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"13": "COMPRADOR N\u00c3O DISPON\u00cdVEL\t",
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"14": "FINANCEIRO"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"COMPRADOR AUSENTE": 5,
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"COMPRADOR N\u00c3O DISPON\u00cdVEL\t": 13,
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"COMPROU RECENTEMENTE": 10,
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"CONTATO SEM SUCESSO": 4,
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"COTA\u00c7\u00c3O": 12,
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"FINANCEIRO": 14,
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"LOGISTICA": 9,
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"N\u00c3O ATENDE": 6,
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"OBSERVA\u00c7\u00c3O FRACA": 0,
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"TELEFONE DESATUALIZADO": 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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"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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"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.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2338eab1e7bf304def0f9ed6b7ec289b5f4fb80f7de1b9ced75a8bdc1ae81d1d
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size 435731452
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training_args.bin
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size 4600
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version https://git-lfs.github.com/spec/v1
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oid sha256:903273ff83db39e7c9ffd1585a9d622e8739ef95b6509e59a81c128e9ad080a4
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size 4600
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