Instructions to use mgh6/TCS_Pairing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/TCS_Pairing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mgh6/TCS_Pairing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mgh6/TCS_Pairing") model = AutoModelForSequenceClassification.from_pretrained("mgh6/TCS_Pairing") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1700
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 135998360
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c8037031cf9d736e42e1e23fee89c6a14fc312775a75240a4a7bebedfc52a48
|
| 3 |
size 135998360
|
runs/Jun05_00-16-36_test-small-0-2/events.out.tfevents.1717546597.test-small-0-2.6243.0
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:f4bb204b3fd619b79dc2003730f9d6b42be2dce40d9ad840abb1339116b17024
|
| 3 |
+
size 13548
|