Instructions to use AnanthZeke/TryNER-tabert-2k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnanthZeke/TryNER-tabert-2k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AnanthZeke/TryNER-tabert-2k")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AnanthZeke/TryNER-tabert-2k") model = AutoModelForTokenClassification.from_pretrained("AnanthZeke/TryNER-tabert-2k") - 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 sha256:1b29eea9618b79c1fdc7f0eb918cfdecae62702dd2cc5900c9d9bf36843cc73d
|
| 3 |
+
size 177936356
|