Instructions to use nizarh1999/1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nizarh1999/1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nizarh1999/1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nizarh1999/1") model = AutoModelForSequenceClassification.from_pretrained("nizarh1999/1") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 935348320
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d1fccb1967c9853b04a8b49ee15b78da77c2854f4b040165a73718afce108cd6
|
| 3 |
size 935348320
|
runs/May03_04-46-02_6e30e6cc60b0/events.out.tfevents.1714711562.6e30e6cc60b0.474.1
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:be53b8cd3c4955cdc736ee53f232dce842e353b8f8025464812bf62dfa16e21f
|
| 3 |
+
size 7593
|