Instructions to use Arthur-Tsai/ht-stmini-mean-v5_ftis_noPretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-stmini-mean-v5_ftis_noPretrain with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-mean-v5_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 134
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:f7e748f36bd9f4dd63135196c3ebaf553aa001a8fe59c94dbe7205360739e25e
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size 124847568
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runs/0-sample_rate=0.2/events.out.tfevents.1742195044.yara2.347192.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e64d35ce3fc69691b94b635770d298533f8b26aca5b406a6bf09ece8ed0b5d4b
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size 5519
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:10ed05c8b5cec405442e8eb5db11bda84c289fb0e64942a48066c7b5e93d3afd
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size 5304
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