Instructions to use aimarsg/ner-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/ner-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/ner-2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/ner-2") model = AutoModelForTokenClassification.from_pretrained("aimarsg/ner-2") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 28
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 496299053
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79ec04cade02a6a469c943123dec71eb50f7b852539298370c2c9ead607d61ef
|
| 3 |
size 496299053
|
runs/Apr26_19-12-38_34d76397237c/events.out.tfevents.1682536367.34d76397237c.289.4
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 sha256:747d89f61332b13df42438c2df5fc2d620dfa8a93363697384800f56943f5e2d
|
| 3 |
+
size 17636
|