Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dhruvil237/userutterance_classification_verplus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhruvil237/userutterance_classification_verplus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhruvil237/userutterance_classification_verplus")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhruvil237/userutterance_classification_verplus") model = AutoModelForSequenceClassification.from_pretrained("dhruvil237/userutterance_classification_verplus") - Notebooks
- Google Colab
- Kaggle
Commit ·
4273ac1
1
Parent(s): 300951d
Training in progress, step 5500
Browse files
runs/Jun25_07-01-42_7493eb6bc8ed/events.out.tfevents.1687681064.7493eb6bc8ed.385.2
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 sha256:33529053940d08ed87c691c5c7b985cf8314a870128736bbf73e2e7158661af1
|
| 3 |
+
size 34695
|