Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use fancyerii/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fancyerii/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fancyerii/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fancyerii/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("fancyerii/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430989809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dfbf975364d123280424e5ee6152d955ae150ae9354ba321157e20ca5d91451a
|
| 3 |
size 430989809
|
runs/May16_13-00-05_lili-Precision-7720/events.out.tfevents.1652677227.lili-Precision-7720.12184.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ef9c4a3fd7c0d498f745979336e8d60211b25dbee1a9731f1cabb74260add48
|
| 3 |
+
size 7000
|