Instructions to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso-smlo 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-smlo with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso-smlo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
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": 768,
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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:b527d02c492b589133c6d43b79f3e533a698d1e9a1581f4cb6ef8653fbcca72c
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size 530721008
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runs/0-sample_rate=0.05/events.out.tfevents.1742362164.yara2.1026583.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f3e5b5f128f1e70faea3df9735611b290e3633be7f7435169edd1fe6528e357
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size 5555
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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:c776e2dabbc9a02740a07e2008b770b0a8a14e9fe4876abb6ab433f1afc8fc1a
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size 5304
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