Instructions to use eeshclusive/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eeshclusive/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eeshclusive/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eeshclusive/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("eeshclusive/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c0a5e2c
1
Parent(s): a11957f
Training in progress, epoch 7
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 430993062
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7142d3c3463d62605e4cc5f33ded4394fd47ca9c444416e3b1efc4179e9bd2b
|
| 3 |
size 430993062
|