Instructions to use Mahmoud8/mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/mpnet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/mpnet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/mpnet-base") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/mpnet-base") - Notebooks
- Google Colab
- Kaggle
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 438020017
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38ffd0e0a9cae0439b91e994c2fba2e966470363dca69ad7720067c6689cb837
|
| 3 |
size 438020017
|
runs/Oct31_06-45-26_efa22e204c27/events.out.tfevents.1698734732.efa22e204c27.32.5
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:ac6784a289412f3a12efd561161b30b251bd9ef6c3bc5f2a777979298b10a5a9
|
| 3 |
+
size 8199
|