Instructions to use henryscheible/qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/qqp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/qqp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/qqp") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/qqp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b183b76
1
Parent(s): 81ae68d
Training in progress, step 14500
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438006125
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7639fc72b2ca01c07af78f0860b1bd75f2cf7aa800bd65530840722a2b85fe22
|
| 3 |
size 438006125
|