Instructions to use almaghrabima/ner_column_bert-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almaghrabima/ner_column_bert-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="almaghrabima/ner_column_bert-base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("almaghrabima/ner_column_bert-base-NER") model = AutoModelForTokenClassification.from_pretrained("almaghrabima/ner_column_bert-base-NER") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34a76e04b0a651933828f37e179568e8277e6d984a2a597dca223640b024d293
|
| 3 |
+
size 430923588
|