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 2500
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 sha256:7514e5d087be3ceb21bf32f21c8dd9783547b538624bbaafa52185c4dd53a867
|
| 3 |
size 135998360
|
runs/Jun18_06-29-55_training-full-0-3/events.out.tfevents.1718692197.training-full-0-3.238.6
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:aa7fdb7828fb8d2b631c020a6ed1c08b1e0255d7f6e97d6ee60ad96326d8b426
|
| 3 |
+
size 17053
|