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 +36 -32
- model.safetensors +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +2 -2
- training_args.bin +1 -1
- vocab.txt +0 -0
config.json
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{
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"architectures": [
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"
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],
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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": "B-
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"1": "B-
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"2": "B-
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"3": "B-PROFONDIT\u00c0",
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"4": "B-TIPO_COTTURA",
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"5": "B-
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"6": "
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"7": "I-DISPOSIZIONE",
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"8": "I-NUM_ZONE_COTTURA",
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"9": "I-
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"10": "I-
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"11": "I-
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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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"B-
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"B-
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"B-
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"B-PROFONDIT\u00c0": 3,
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"B-TIPO_COTTURA": 4,
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"B-
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"
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"I-DISPOSIZIONE": 7,
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"I-NUM_ZONE_COTTURA": 8,
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"I-
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"I-
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"I-
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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": "
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"pad_token_id": 0,
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"torch_dtype": "float32",
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"transformers_version": "4.52.4",
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"
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"use_cache": true,
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"vocab_size": 28996
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}
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{
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"activation": "gelu",
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"architectures": [
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"DistilBertForTokenClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "B-DISPOSIZIONE",
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"1": "B-NUM_ZONE_COTTURA",
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"2": "B-POTENZA",
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"3": "B-PROFONDIT\u00c0",
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"4": "B-TIPO_COTTURA",
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"5": "B-TIPO_FORNO",
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"6": "B-TIPO_VANO",
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"7": "I-DISPOSIZIONE",
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"8": "I-NUM_ZONE_COTTURA",
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"9": "I-POTENZA",
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"10": "I-PROFONDIT\u00c0",
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"11": "I-TIPO_COTTURA",
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"12": "I-TIPO_FORNO",
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"13": "I-TIPO_VANO",
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"14": "O"
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},
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"initializer_range": 0.02,
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"label2id": {
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"B-DISPOSIZIONE": 0,
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"B-NUM_ZONE_COTTURA": 1,
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"B-POTENZA": 2,
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"B-PROFONDIT\u00c0": 3,
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"B-TIPO_COTTURA": 4,
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"B-TIPO_FORNO": 5,
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"B-TIPO_VANO": 6,
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"I-DISPOSIZIONE": 7,
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"I-NUM_ZONE_COTTURA": 8,
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"I-POTENZA": 9,
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"I-PROFONDIT\u00c0": 10,
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"I-TIPO_COTTURA": 11,
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"I-TIPO_FORNO": 12,
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"I-TIPO_VANO": 13,
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"O": 14
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.52.4",
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9827493d72e283a60a7f32414e8f050dcf1600650d040adeeb0d1b117508648c
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size 265510004
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tokenizer.json
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tokenizer_config.json
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},
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"do_lower_case":
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "
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"unk_token": "[UNK]"
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}
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},
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5240
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version https://git-lfs.github.com/spec/v1
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oid sha256:265896cfd6e3a53b53066b46f4b8daf9b89f1b4619db2588a5147b390e5b7930
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size 5240
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vocab.txt
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