Instructions to use dmlea/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmlea/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dmlea/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dmlea/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("dmlea/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
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 430974121
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea41683fe2a5f34ab545c2f23458691da630a32e49268b33df024e9d7f888cb0
|
| 3 |
size 430974121
|