Instructions to use izaitova/ner_bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use izaitova/ner_bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="izaitova/ner_bg")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("izaitova/ner_bg") model = AutoModelForTokenClassification.from_pretrained("izaitova/ner_bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10500
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 2257845012
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:665eff660c8716444d019789d5c57ae88455ee192e27fdff20a0e2435154fb93
|
| 3 |
size 2257845012
|