Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use edloginovad/tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edloginovad/tinybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edloginovad/tinybert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edloginovad/tinybert") model = AutoModelForSequenceClassification.from_pretrained("edloginovad/tinybert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8
Browse files
logs/events.out.tfevents.1762172811.ip-172-31-12-22.8994.0
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:bd55062dc02f281f269674d23c49a0afceb3d5b1f648b3003437aa56ea66dd87
|
| 3 |
+
size 8897
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 46634832
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:96535e266d440c97be85668eea30fea6360ff8e318348e10d5a42a877a3ca25a
|
| 3 |
size 46634832
|