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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/ner-2") model = AutoModelForTokenClassification.from_pretrained("aimarsg/ner-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 13
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:a1eadbd79c4b5b3249310f1d59d5a1b45929693967c6fd2f58529f43b32b6640
|
| 3 |
size 496299053
|
runs/Apr29_14-24-51_779cd451d320/events.out.tfevents.1682778298.779cd451d320.195.12
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:f3b138caaa741fe4513217b901dbe16b4b57a7ce49729a550bdbf0dd23480373
|
| 3 |
+
size 10399
|