Upload BloomForTokenClassification
Browse files- config.json +72 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "pdf_postprocessor",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForTokenClassification"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9",
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"10": "LABEL_10"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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},
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"label_weights": [
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1.0,
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10.0,
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10.0,
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10.0,
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10.0,
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10.0,
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10.0,
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10.0,
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10.0,
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10.0,
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10.0
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],
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"max_sequence_length": 4096,
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"model_type": "bloom",
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 1,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"torch_dtype": "float32",
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"transformers_version": "4.34.0",
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250880
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}
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pytorch_model.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:73008f47e8ec45c348a8d8de804553cbed9fafb2851a15f04106d23bd969a0b4
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size 2236999398
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