First
Browse files- config.json +33 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
    	
        config.json
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            {
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              "_name_or_path": "KB/bert-base-swedish-cased",
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              "architectures": [
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                "BertForSequenceClassification"
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              ],
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              "id2label": {
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                "0": "NEGATIVE",
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                "1": "POSITIVE"
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              },
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              "label2id": {
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                "NEGATIVE": 0,
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                "POSITIVE": 1
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              },
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              "attention_probs_dropout_prob": 0.1,
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              "gradient_checkpointing": false,
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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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              "initializer_range": 0.02,
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              "intermediate_size": 3072,
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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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              "output_past": true,
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              "pad_token_id": 0,
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              "position_embedding_type": "absolute",
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              "transformers_version": "4.5.0",
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              "type_vocab_size": 2,
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              "use_cache": true,
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              "vocab_size": 50325
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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 sha256:459fc7c65626857fcc64baf0e3f325227c130a0a0d7f460dcd8be669278e2ff2
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            size 498856847
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        special_tokens_map.json
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            {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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        tokenizer_config.json
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            {"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "special_tokens_map_file": "/home/marma/.cache/huggingface/transformers/37f2eab7cd9b3716ce0160ea9562138ae9247fb3ea61a2fd0190b16d0970444e.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "tokenizer_file": null, "name_or_path": "KB/bert-base-swedish-cased"}
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        vocab.txt
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