Instructions to use Vrushali/model_abv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrushali/model_abv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vrushali/model_abv")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vrushali/model_abv") model = AutoModelForTokenClassification.from_pretrained("Vrushali/model_abv") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 25
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 431488749
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5310113d6859472e19ae5fb423c8c63c3e6e25c02d9989fe11c5865ebcc4093a
|
| 3 |
size 431488749
|
runs/Jul01_10-54-23_88eb04906cb8/events.out.tfevents.1688208991.88eb04906cb8.24763.0
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 sha256:62c81d92f71a280ed1c5d5395180d9847a31040db1972527ea718e3533c05fae
|
| 3 |
+
size 15774
|