Instructions to use ghadeermobasher/Model_imb_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_imb_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_imb_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_imb_2") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_imb_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
a9bc4f2
1
Parent(s): 0cde5ba
Training in progress, step 91500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 435662705
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5fd8f8233f548c7f800b3e383cfe616dd6961362740338302d2af336db049908
|
| 3 |
size 435662705
|
runs/Mar01_17-17-53_cascade-017.cluster/events.out.tfevents.1646152030.cascade-017.cluster.625.0
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 sha256:14d5531db5c103da7e1fde4b54100ac755abd890656602f3ccf8b716c22c5031
|
| 3 |
+
size 39722
|