Instructions to use Sayan01/TinyBert4_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/TinyBert4_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/TinyBert4_sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/TinyBert4_sst2") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/TinyBert4_sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
logs/events.out.tfevents.1684152652.418f83ca7927
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:a8d48548077408b2202a57e6436e55ff6d02ff3fa68e5b8fb664ec0d6cba6e78
|
| 3 |
+
size 5976
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 57431183
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de0c4dfdff330793fd3c67490c6a2112f9fb1c69dde1eb46998fc2387ae54686
|
| 3 |
size 57431183
|