Instructions to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- config.json +17 -0
- model.safetensors +3 -0
- runs/0-sample_rate=0.1/events.out.tfevents.1743067631.luna.654575.0 +3 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"HiTrans"
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],
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"dropout": 0.2,
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"max_doc_len": 4500,
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"max_sent_len": 256,
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"model_type": "hierarchical-transformer",
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"n_head": 8,
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"num_aux_gtsp_labels": 3,
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"num_aux_smlo_labels": 0,
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"num_aux_spp_labels": 1,
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"num_layers": 2,
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"num_main_labels": 36,
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"torch_dtype": "float32",
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"transformers_version": "4.46.0"
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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:b1cba02dbc5bd4823802a3eb4c91399e5ca0bff034fda12b03ad6d380505b056
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size 525983136
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runs/0-sample_rate=0.1/events.out.tfevents.1743067631.luna.654575.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1f71fb10f0a9237026331289ebaa36d224a8d89be3f1920814d939c44a72fc7
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size 5532
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b8f7991dc8bc411fcbf141503f4d81603a7b7d9cd13dae416696d6acf09b9db
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size 5304
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