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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhruvil237/userutterance_classification_verplus") model = AutoModelForSequenceClassification.from_pretrained("dhruvil237/userutterance_classification_verplus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3abd0cc
1
Parent(s): 2f485ad
Training in progress, step 3000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 738227065
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:48c66f88fc13b2507c4a1734628f3438bf43bfcf09e5eebc4f8a662287297388
|
| 3 |
size 738227065
|
runs/Jun25_07-01-42_7493eb6bc8ed/events.out.tfevents.1687676669.7493eb6bc8ed.385.0
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 sha256:2fd7ab7d97e3086ff411f7390b53ef035cd76ec2efe11f466bb5da6369115cbf
|
| 3 |
+
size 17938
|