Instructions to use SADAF-IMAMU/train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SADAF-IMAMU/train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SADAF-IMAMU/train")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SADAF-IMAMU/train") model = AutoModelForSequenceClassification.from_pretrained("SADAF-IMAMU/train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
019176f
1
Parent(s): 5c3cdd2
Training in progress, epoch 0
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 540898485
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:62fb77f5c6bda48192f3db56b6fbef8c2576abd23c1bd51564640dacb535c362
|
| 3 |
size 540898485
|
runs/May25_11-23-22_77c0d8cc6ba8/1685013927.616136/events.out.tfevents.1685013927.77c0d8cc6ba8.3410.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2526161deb8939d2535211570aeac691db76db01e9dbef44dcfa1a3371ec1d8
|
| 3 |
+
size 5887
|
runs/May25_11-23-22_77c0d8cc6ba8/events.out.tfevents.1685013927.77c0d8cc6ba8.3410.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:698388a1e2e57e1292ae76d362d02daee08f6de1d3ec7a748ce93d907336f1ef
|
| 3 |
+
size 5192
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3899
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce4d8714fac06e6e521a88fd8605eefb296f3c29c693bb0368e82d92a11a3750
|
| 3 |
size 3899
|