Instructions to use PrachiPatel/text_emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrachiPatel/text_emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrachiPatel/text_emotion_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrachiPatel/text_emotion_classification") model = AutoModelForSequenceClassification.from_pretrained("PrachiPatel/text_emotion_classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
717bbb0
1
Parent(s): 1489d47
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6535b61067161b1ceabaf75d04e5a02ee5e3678e0cd091bca46380391ea25b56
|
| 3 |
+
size 267875631
|