Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use SebastianS/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianS/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SebastianS/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SebastianS/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("SebastianS/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Commit ·
4040ffc
1
Parent(s): 1281ec5
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 430976817
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5a1472cad26b0e7b3c8eb578b493d7cc8a1ad08bfeedd0f442747c1f7bdc6c9
|
| 3 |
size 430976817
|
runs/May01_21-17-52_9489d0253ab8/events.out.tfevents.1651439893.9489d0253ab8.72.0
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:c6beed6bc02e926cfb04285188a665c9beac61c17a7f03fcc51fe8cd07b212ef
|
| 3 |
+
size 6613
|