Instructions to use datleviet/vlsp-comom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datleviet/vlsp-comom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="datleviet/vlsp-comom")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("datleviet/vlsp-comom") model = AutoModelForTokenClassification.from_pretrained("datleviet/vlsp-comom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 537682332
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59109d66e0dffbccdfad960e8b0089c07e94ca2df4842dc1f5ced9b8e1c398a7
|
| 3 |
size 537682332
|
runs/Nov12_16-26-27_57e0242c1710/events.out.tfevents.1699806388.57e0242c1710.29248.0
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 sha256:5a045611e7e39677b78ea5e090a1b631bbe98158e87558c7dd744da9c406dc30
|
| 3 |
+
size 5938
|