Token Classification
Transformers
Safetensors
PyTorch
Thai
camembert
ner
thai
phayathaibert
phayathaibert-thainer
Eval Results (legacy)
Instructions to use JonusNattapong/OpenThai-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonusNattapong/OpenThai-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JonusNattapong/OpenThai-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JonusNattapong/OpenThai-NER") model = AutoModelForTokenClassification.from_pretrained("JonusNattapong/OpenThai-NER") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1941
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1107667592
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fbffcc588864df46543df9f5bc0c4cbf611114911772fabdb26c7480b2cfde6
|
| 3 |
size 1107667592
|