Instructions to use Harini2506/second_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harini2506/second_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Harini2506/second_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Harini2506/second_model") model = AutoModelForTokenClassification.from_pretrained("Harini2506/second_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
f3c609d
1
Parent(s): 3cfbad3
Training in progress, epoch 13
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 437425830
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eeb7c679cadcb7c950a44c6c655149da066e4739d0c09fa80da396cf87100071
|
| 3 |
size 437425830
|