Instructions to use Sayan01/stsb-distillbert-Direct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/stsb-distillbert-Direct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/stsb-distillbert-Direct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/stsb-distillbert-Direct") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/stsb-distillbert-Direct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
logs/events.out.tfevents.1664344117.3e1c7b099ae2
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 sha256:9bc00604e5c0a943fdfa6aed61bc672099bd94c2b093a58004ff9a5b396a2d5f
|
| 3 |
+
size 4751
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267851249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5fd4218c3d56164fc214de371748fb07e0414b85860b708924acc341d275e7a
|
| 3 |
size 267851249
|