Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use tatiana-merz/turkic-cyrillic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tatiana-merz/turkic-cyrillic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tatiana-merz/turkic-cyrillic-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tatiana-merz/turkic-cyrillic-classifier") model = AutoModelForSequenceClassification.from_pretrained("tatiana-merz/turkic-cyrillic-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
9a30e17
1
Parent(s): ec74a71
Training in progress, step 1500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 711514229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:434821c8e229c4df1944058463c233d704455dbc5c6e52a7bd47747fa9ecff0d
|
| 3 |
size 711514229
|
runs/Mar15_19-01-15_01784dfbc547/events.out.tfevents.1678906882.01784dfbc547.300.2
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:c3a7ea5cfa94cc8e18e32b7814ef0d5603ce1689a80575fb2057e905637d2482
|
| 3 |
+
size 5011
|