Instructions to use Dabid/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dabid/test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dabid/test3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dabid/test3") model = AutoModelForSequenceClassification.from_pretrained("Dabid/test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 436714613
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38607906689fa65fd37d30080d4b4b3460499e48d198e5537a8c22d450bc44cb
|
| 3 |
size 436714613
|
runs/Feb23_12-02-35_551bf874ff3d/events.out.tfevents.1677153768.551bf874ff3d.2701.0
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 sha256:45a94bbc56e3a9dc66c61169e99c3183d6c9ccb2fcab7a231993bd52c69755b9
|
| 3 |
+
size 6465
|