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 1600
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 sha256:77c286038196eb69d28fef8744cd1ef97a1900ffe9507252f4907bc6e03f66db
|
| 3 |
size 135998360
|
runs/Jun18_05-52-00_training-full-0-3/events.out.tfevents.1718689921.training-full-0-3.238.4
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:fbc6ace160ed5862890cfc1504260c9e5ad765c566ede26573bb6e9f00de3279
|
| 3 |
+
size 12715
|