Instructions to use Shadman-Rohan/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadman-Rohan/outputs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Shadman-Rohan/outputs")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/outputs") model = AutoModelForTokenClassification.from_pretrained("Shadman-Rohan/outputs") - Notebooks
- Google Colab
- Kaggle
Commit ·
cd09f96
1
Parent(s): 671bb5a
Model save
Browse files
runs/Mar02_00-42-50_home-3090/events.out.tfevents.1677696194.home-3090.8865.0
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 sha256:331e2cbdf0652156d5ed385a843746cfcea2a8cc0d71715e8e9c502dffebb6c7
|
| 3 |
+
size 7630
|