Instructions to use D3VILAni/intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D3VILAni/intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="D3VILAni/intent-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("D3VILAni/intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("D3VILAni/intent-classifier") - Notebooks
- Google Colab
- Kaggle
Ensure all files are present
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437961724
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eda96b654e756b254e2f51f9a0f0ff8723e956329ff36be7956c45f7ae6304bd
|
| 3 |
size 437961724
|