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 2
Browse files
logs/events.out.tfevents.1761303109.ip-172-31-12-22.65348.0
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:beff1db3c99d8a24150e89d50c8e510c3596e1861fb87b863a0ea57739ad12c9
|
| 3 |
+
size 6119
|
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:fd93d42b8c05a288d5c4fba64f633113ffb0702cae7ab24de8b9e5524df754d0
|
| 3 |
size 46634832
|