Instructions to use Jehadoumer/task2B-preprocessed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2B-preprocessed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2B-preprocessed")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2B-preprocessed") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2B-preprocessed") - Notebooks
- Google Colab
- Kaggle
Commit ·
10d1476
1
Parent(s): eb9fa16
Training in progress, epoch 10
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 540854065
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7724ec15db14f3e5d59f208296776c725a937bebb237ccfcf38abf97bf869be
|
| 3 |
size 540854065
|
runs/Aug12_11-28-30_d5e8e653435b/events.out.tfevents.1691839713.d5e8e653435b.249.7
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 sha256:6d220c61509633926c8e05482d81f26e04a48151d531dd4ad8b86545b647f0fc
|
| 3 |
+
size 8373
|