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
Training in progress, step 134
Browse files
config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Arthur-Tsai/histv4_pretrain_tssp-smlm",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"HiSenTrans"
|
| 5 |
+
],
|
| 6 |
+
"dropout": 0.2,
|
| 7 |
+
"max_doc_len": 4500,
|
| 8 |
+
"max_sent_len": 256,
|
| 9 |
+
"model_type": "hierarchical-sentence-transformer-v2",
|
| 10 |
+
"n_head": 8,
|
| 11 |
+
"num_aux_smlm_labels": 384,
|
| 12 |
+
"num_aux_spo_labels": 0,
|
| 13 |
+
"num_aux_tssp_labels": 0,
|
| 14 |
+
"num_layers": 2,
|
| 15 |
+
"num_main_labels": 36,
|
| 16 |
+
"torch_dtype": "float32",
|
| 17 |
+
"transformers_version": "4.46.0"
|
| 18 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55d8a3f15ddea5e31127d7be6778fbaeb1b350fddde52dd76f1fa6cff004603d
|
| 3 |
+
size 126037280
|
runs/0-sample_rate=0.2/events.out.tfevents.1738728224.yara2.248274.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74612e2f8c73d0d25a66a552b0048ad5d483b428c6e219de01bcd6e2ce345338
|
| 3 |
+
size 5633
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:727d51f80b76f63d8832d9d5950dfa549c16588bdbd8990acacbe2d54751e19e
|
| 3 |
+
size 5240
|