Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-bml 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-bml with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-bml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 174
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 126037348
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5767dad77e0b32f30c6777c88d66b0abed32e006c9b779e42dbaeac44ff6051c
|
| 3 |
size 126037348
|
predictions/0-by=2006-psr=0.25/y_pred.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:248de947436e799ec819b3faf2a117702d74ed49c9db6f0e073717c280155b3f
|
| 3 |
+
size 436104128
|
predictions/0-by=2006-psr=0.25/y_true.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7b872f3610af36886438074a3235b94022ea137ba73bfca59fa2c5ed6cf7d1a
|
| 3 |
+
size 4688118128
|
predictions/0-by=2006-psr=0.25/y_type.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bff59f53884cdf8de1e9074c7ed4e0fa2adce0013e46935eba336bbae2f4fc67
|
| 3 |
+
size 5512
|
runs/0-by=2006-psr=0.25/events.out.tfevents.1746948558.ana2.133292.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:215b54c31b3e0d28b4346cd0b1919a111f1312240d05b927ea12aa3658fb6552
|
| 3 |
+
size 5770
|