Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Mathildeholst/classifier-clinc-MBbase-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathildeholst/classifier-clinc-MBbase-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mathildeholst/classifier-clinc-MBbase-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mathildeholst/classifier-clinc-MBbase-distilled") model = AutoModelForSequenceClassification.from_pretrained("Mathildeholst/classifier-clinc-MBbase-distilled") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
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 598898116
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9186bad06726875b7e55c5d0668ab718b621653cfcce5ed66134786b0d4b1848
|
| 3 |
size 598898116
|