Text Classification
Transformers
PyTorch
TensorBoard
deberta-v2
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dhruvil237/userutterance_classification_ver1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhruvil237/userutterance_classification_ver1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhruvil237/userutterance_classification_ver1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhruvil237/userutterance_classification_ver1") model = AutoModelForSequenceClassification.from_pretrained("dhruvil237/userutterance_classification_ver1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f4b6e6f
1
Parent(s): 3b8bf65
Training in progress, step 1500
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 sha256:476520d11eb6788cc6775123640be412ca6ad09bddb895c91fe9b1f89e396b49
|
| 3 |
size 738227065
|
runs/May18_17-50-53_277bef145394/events.out.tfevents.1684432470.277bef145394.555.0
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 sha256:7f9493c43d04a79f5d5eb9f71133139997ff9aa515e6515f34223d083d24f678
|
| 3 |
+
size 14089
|