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 7
Browse files
logs/events.out.tfevents.1760011961.ip-172-31-12-22.10247.0
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 sha256:17512b4d4e1a7e7cc953031e26e1c97dc66821d5983fd1bbb9740232d3b6a415
|
| 3 |
+
size 8639
|
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 sha256:7d92ea7e89d9ad06a8a7e2ed5881549e94d0ee94d11c82a1271b2b9d100b321a
|
| 3 |
size 46634832
|