Instructions to use return2music/roberta-base_classification_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use return2music/roberta-base_classification_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="return2music/roberta-base_classification_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("return2music/roberta-base_classification_test") model = AutoModelForSequenceClassification.from_pretrained("return2music/roberta-base_classification_test") - Notebooks
- Google Colab
- Kaggle
Commit ·
1d11379
1
Parent(s): 5bb9ed5
Training in progress, epoch 4
Browse files
logs/events.out.tfevents.1685892206.192-9-250-191.149339.0
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:d697ee063ba9326c97b7a36d913ad2194d8e028e09b171d3d246dcc52d5557bb
|
| 3 |
+
size 572115
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498662069
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f8ac34bf026a605e8b7e4f9af0400ceedcbb55b661049e6048c6235f3db69c4
|
| 3 |
size 498662069
|