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 ·
eb9fa16
1
Parent(s): bc96baf
Training in progress, epoch 9
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 sha256:8b6cc2b5cce978390549a57d80618bed8e43b306f0c75def6e75afbbfe5552ed
|
| 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 sha256:7766274d8a0104b49207502f30ea27fddc3136c4e9ce6b0a290bb83eda10c34a
|
| 3 |
+
size 7852
|