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
Download config.json from codern/downstream-german-bert: direct link, hf CLI and curl.
- Browser
- Download file 2.51 kB
-
https://huggingface.co/codern/downstream-german-bert/resolve/refs%2Fpr%2F1/config.json
- Command line
-
hf download hf://codern/downstream-german-bert@refs/pr/1/config.json
-
curl -L -o config.json https://huggingface.co/codern/downstream-german-bert/resolve/refs%2Fpr%2F1/config.json
2.51 kB
| { | |
| "_name_or_path": "downstream-german-bert", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "0", | |
| "1": "Modell", | |
| "2": "Marke", | |
| "3": "Produktlinie", | |
| "4": "Schuhschaft-Typ", | |
| "5": "Farbe", | |
| "6": "US-Schuhgr\u00f6\u00dfe", | |
| "7": "EU-Schuhgr\u00f6\u00dfe", | |
| "8": "0", | |
| "9": "Akzente", | |
| "10": "Abteilung", | |
| "11": "Produktart", | |
| "12": "Muster", | |
| "13": "Stil", | |
| "14": "Zwischensohlen-Typ", | |
| "15": "Obermaterial", | |
| "16": "Herstellernummer", | |
| "17": "Gewebeart", | |
| "18": "Verschluss", | |
| "19": "Erscheinungsjahr", | |
| "20": "Anlass", | |
| "21": "Aktivit\u00e4t", | |
| "22": "Besonderheiten", | |
| "23": "Ma\u00dfeinheit", | |
| "24": "Thema", | |
| "25": "UK-Schuhgr\u00f6\u00dfe", | |
| "26": "D\u00e4mpfungsgrad", | |
| "27": "Herstellungsland und -region", | |
| "28": "Schuhweite", | |
| "29": "Jahreszeit", | |
| "30": "Laufsohlenmaterial", | |
| "31": "Innensohlenmaterial", | |
| "32": "Obscure", | |
| "33": "Futtermaterial", | |
| "34": "Charakter", | |
| "35": "Stollentyp", | |
| "36": "Charakter Familie" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "0": 0, | |
| "Abteilung": 10, | |
| "Aktivit\u00e4t": 21, | |
| "Akzente": 9, | |
| "Anlass": 20, | |
| "Besonderheiten": 22, | |
| "Charakter": 34, | |
| "Charakter Familie": 36, | |
| "D\u00e4mpfungsgrad": 26, | |
| "EU-Schuhgr\u00f6\u00dfe": 7, | |
| "Erscheinungsjahr": 19, | |
| "Farbe": 5, | |
| "Futtermaterial": 33, | |
| "Gewebeart": 17, | |
| "Herstellernummer": 16, | |
| "Herstellungsland und -region": 27, | |
| "Innensohlenmaterial": 31, | |
| "Jahreszeit": 29, | |
| "Laufsohlenmaterial": 30, | |
| "Marke": 2, | |
| "Ma\u00dfeinheit": 23, | |
| "Modell": 1, | |
| "Muster": 12, | |
| "Obermaterial": 15, | |
| "Obscure": 32, | |
| "Produktart": 11, | |
| "Produktlinie": 3, | |
| "Schuhschaft-Typ": 4, | |
| "Schuhweite": 28, | |
| "Stil": 13, | |
| "Stollentyp": 35, | |
| "Thema": 24, | |
| "UK-Schuhgr\u00f6\u00dfe": 25, | |
| "US-Schuhgr\u00f6\u00dfe": 6, | |
| "Verschluss": 18, | |
| "Zwischensohlen-Typ": 14 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.33.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 31102 | |
| } | |