Instructions to use Arthur-Tsai/histv4_ftis_pretrain_smlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/histv4_ftis_pretrain_smlm with Transformers:
# Load model directly from transformers import HiSenTrans model = HiSenTrans.from_pretrained("Arthur-Tsai/histv4_ftis_pretrain_smlm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "Arthur-Tsai/histv4_pretrain_smlm", | |
| "architectures": [ | |
| "HiSenTrans" | |
| ], | |
| "dropout": 0.2, | |
| "max_doc_len": 4500, | |
| "max_sent_len": 256, | |
| "model_type": "hierarchical-sentence-transformer-v2", | |
| "n_head": 8, | |
| "num_aux_smlm_labels": 384, | |
| "num_aux_spo_labels": 0, | |
| "num_aux_tssp_labels": 0, | |
| "num_layers": 2, | |
| "num_main_labels": 36, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.0" | |
| } | |