Instructions to use hadifar/entityextraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadifar/entityextraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hadifar/entityextraction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hadifar/entityextraction") model = AutoModelForTokenClassification.from_pretrained("hadifar/entityextraction") - Notebooks
- Google Colab
- Kaggle
Upload RobertaForTokenClassification
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 496319529
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:909e30eafb03b61aad3d8f5c4561ad9df407681fbd29dd1160cab024db7583ac
|
| 3 |
size 496319529
|