Token Classification
Transformers
Safetensors
PyTorch
Italian
distilbert
ner
ristorazione
fine-tuning
Instructions to use software-si/horeca-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use software-si/horeca-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="software-si/horeca-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("software-si/horeca-ner") model = AutoModelForTokenClassification.from_pretrained("software-si/horeca-ner") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +18 -16
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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"0": "B-CATEGORIA",
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"1": "B-DISPOSIZIONE",
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"2": "B-NUM_ZONE_COTTURA",
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"B-CATEGORIA": 0,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"0": "B-CATEGORIA",
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"1": "B-DISPOSIZIONE",
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"2": "B-NUM_ZONE_COTTURA",
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"3": "B-PROFONDIT\u00c0",
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"4": "B-TIPO_COTTURA",
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"5": "B-TIPO_VANO",
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"6": "I-CATEGORIA",
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"7": "I-DISPOSIZIONE",
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"8": "I-NUM_ZONE_COTTURA",
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"9": "I-PROFONDIT\u00c0",
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"10": "I-TIPO_COTTURA",
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"11": "I-TIPO_VANO"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"B-CATEGORIA": 0,
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"B-DISPOSIZIONE": 1,
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"B-NUM_ZONE_COTTURA": 2,
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"B-PROFONDIT\u00c0": 3,
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"B-TIPO_COTTURA": 4,
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"I-NUM_ZONE_COTTURA": 8,
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"I-PROFONDIT\u00c0": 9,
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"I-TIPO_COTTURA": 10,
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"I-TIPO_VANO": 11
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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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training_args.bin
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