Instructions to use Sayan01/Bert-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/Bert-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/Bert-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/Bert-sst2") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/Bert-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 13
Browse files
logs/events.out.tfevents.1692273227.4f3b1e943223
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 sha256:91cf00c08a6366329c23be8a5cd7d61310f21c567f7b9374610f598f549a6cd2
|
| 3 |
+
size 10221
|
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:bc28d308e3f90d0609606f0dc8cbba2068e03433bab809289cdbc3e638364493
|
| 3 |
size 440373249
|