Instructions to use Jehadoumer/task2a-preprocessed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2a-preprocessed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2a-preprocessed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2a-preprocessed") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2a-preprocessed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
5ca79cb
1
Parent(s): da689ad
Training in progress, epoch 3
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 540847921
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7ccb3025ce1ab56b574c2dcbe4feaa00e9408516c9a39c7749cbb80c0c20505
|
| 3 |
size 540847921
|
runs/Aug12_09-40-14_d5e8e653435b/events.out.tfevents.1691833217.d5e8e653435b.249.2
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 sha256:7eb84e8f8947b82782721b7757684d2877e3d833cfceef97b7c5d4b469cf9912
|
| 3 |
+
size 6096
|