Instructions to use mgh6/TCS_MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/TCS_MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mgh6/TCS_MLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mgh6/TCS_MLM") model = AutoModelForMaskedLM.from_pretrained("mgh6/TCS_MLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4600
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:d4fdcfcdbc428ac62e3be4844df2a7454e840e8969a5d0c963a4d867d92764b4
|
| 3 |
size 136000488
|
runs/Oct14_17-20-10_torch-flash-large-0-2/events.out.tfevents.1728926412.torch-flash-large-0-2.3636.0
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 sha256:6dbc54750f709c3189bd2cc76d9e942960e8dbe96fbc918040cc7ee3a7a9aa98
|
| 3 |
+
size 27172
|