Instructions to use mgh6/TCS_MLM_All with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/TCS_MLM_All with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mgh6/TCS_MLM_All")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mgh6/TCS_MLM_All") model = AutoModelForMaskedLM.from_pretrained("mgh6/TCS_MLM_All") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 21000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 136000488
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c303733e68b4d6a3464f154a0cef27f187ffb143a75e316fdc2ae74d008e2ebe
|
| 3 |
size 136000488
|
runs/May30_02-59-16_training-full-0-0/events.out.tfevents.1717037957.training-full-0-0.5807.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a3e6600b90d42e89e0cd2b9dd29a31d2a22965fd5cf5a51e4571bed44083304
|
| 3 |
+
size 9389
|