Instructions to use dipesh/Intent-Classification-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipesh/Intent-Classification-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipesh/Intent-Classification-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipesh/Intent-Classification-large") model = AutoModelForSequenceClassification.from_pretrained("dipesh/Intent-Classification-large") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267917037
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91f0a6f5fdfc8d6fb6dad4a5241f15275aa91bfece9c394d2bda775a0a71c564
|
| 3 |
size 267917037
|
runs/Feb04_22-20-44_825f6b07299e/events.out.tfevents.1675549254.825f6b07299e.2072.0
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 sha256:2651d6ba35ff15510a4eec417e83ee8bbdbe3c897e4efc417cf5f2182f161aef
|
| 3 |
+
size 7047
|