Instructions to use codern/downstream-german-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codern/downstream-german-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="codern/downstream-german-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("codern/downstream-german-bert") model = AutoModelForTokenClassification.from_pretrained("codern/downstream-german-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload BertForTokenClassification
Browse files- config.json +102 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "downstream-german-bert",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": 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": "0",
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"1": "Modell",
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"2": "Marke",
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"3": "Produktlinie",
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"4": "Schuhschaft-Typ",
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"5": "Farbe",
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"6": "US-Schuhgr\u00f6\u00dfe",
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"7": "EU-Schuhgr\u00f6\u00dfe",
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"8": "0",
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"9": "Akzente",
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"10": "Abteilung",
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"11": "Produktart",
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"12": "Muster",
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"13": "Stil",
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"14": "Zwischensohlen-Typ",
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"15": "Obermaterial",
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"16": "Herstellernummer",
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"17": "Gewebeart",
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"18": "Verschluss",
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"19": "Erscheinungsjahr",
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"20": "Anlass",
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"21": "Aktivit\u00e4t",
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"22": "Besonderheiten",
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"23": "Ma\u00dfeinheit",
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"24": "Thema",
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"25": "UK-Schuhgr\u00f6\u00dfe",
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"26": "D\u00e4mpfungsgrad",
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"27": "Herstellungsland und -region",
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"28": "Schuhweite",
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"29": "Jahreszeit",
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"30": "Laufsohlenmaterial",
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"31": "Innensohlenmaterial",
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"32": "Obscure",
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"33": "Futtermaterial",
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"34": "Charakter",
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"35": "Stollentyp",
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"36": "Charakter Familie"
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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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"0": 0,
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"Abteilung": 10,
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"Aktivit\u00e4t": 21,
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"Akzente": 9,
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"Anlass": 20,
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"Besonderheiten": 22,
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"Charakter": 34,
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"Charakter Familie": 36,
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"D\u00e4mpfungsgrad": 26,
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"EU-Schuhgr\u00f6\u00dfe": 7,
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"Erscheinungsjahr": 19,
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"Farbe": 5,
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"Futtermaterial": 33,
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"Gewebeart": 17,
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"Herstellernummer": 16,
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"Herstellungsland und -region": 27,
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"Innensohlenmaterial": 31,
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"Jahreszeit": 29,
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"Laufsohlenmaterial": 30,
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"Marke": 2,
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"Ma\u00dfeinheit": 23,
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"Modell": 1,
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"Muster": 12,
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"Obermaterial": 15,
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"Obscure": 32,
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"Produktart": 11,
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"Produktlinie": 3,
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"Schuhschaft-Typ": 4,
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"Schuhweite": 28,
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"Stil": 13,
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"Stollentyp": 35,
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"Thema": 24,
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"UK-Schuhgr\u00f6\u00dfe": 25,
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"US-Schuhgr\u00f6\u00dfe": 6,
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"Verschluss": 18,
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"Zwischensohlen-Typ": 14
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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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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.33.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31102
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:89cb8e15af7d838a49e29bea011f538ca491d35617e195a5dd49e7473efdbef7
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size 437529897
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