Instructions to use dtorber/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dtorber/bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dtorber/bert-base-cased") model = AutoModelForSequenceClassification.from_pretrained("dtorber/bert-base-cased") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 433270768
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd9a3758e8ad4eeffe6682a955054a87b7b1df4f69bac86e704ea6673394c09d
|
| 3 |
size 433270768
|
runs/Apr06_15-43-08_tardis/events.out.tfevents.1712410994.tardis.16374.0
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:c8440164e55fbc0321c1f7395a755cd349ffa9dc5e82466ebab24f842f4ee8c5
|
| 3 |
+
size 11062
|