Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-pos with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-pos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 174
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": 0,
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"num_aux_smlo_labels": 0,
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"num_aux_spp_labels": 0,
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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:fc9b874d5d285b6f777b767d20064d56c39e9e668333dc035c619cb79d77b577
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size 126037348
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runs/0-by=2006-psr=0.25/events.out.tfevents.1747106870.ana2.178331.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:976104b44ebef9ed7cfbc53d9d72f7017c1f2a9a872587f351cebf141aa3e277
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size 5770
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:79a330bb97126295ae7840bddc2e670bc866c3b128b55520fa1f10e2220fd79f
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size 5304
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