Instructions to use Sayan01/Bert-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/Bert-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/Bert-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/Bert-rte") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/Bert-rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
logs/events.out.tfevents.1692616219.48f07d246700
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 sha256:9507522f4a36886955b096f5282b7a0cfb8d9ee1e827e58710d60532656e2bdb
|
| 3 |
+
size 9090
|
logs/events.out.tfevents.1692616550.48f07d246700
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5983f732454a7e1065a1678fcb697a6f4f3e26c06ef1c7563b42b8ea329e4103
|
| 3 |
+
size 4099
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 440373249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1df5c3f1a4a19254231c96d55b145a5439f4d179acd330912b66157ed4686b9
|
| 3 |
size 440373249
|