Text Classification
Transformers
PyTorch
ONNX
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use AdamCodd/tinybert-emotion-balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamCodd/tinybert-emotion-balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AdamCodd/tinybert-emotion-balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AdamCodd/tinybert-emotion-balanced") model = AutoModelForSequenceClassification.from_pretrained("AdamCodd/tinybert-emotion-balanced") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -20,6 +20,8 @@ widget:
|
|
| 20 |
example_title: "Anger"
|
| 21 |
- text: "In the quiet of the night, the gentle rustling of leaves outside her window sent shivers down her spine, leaving her feeling uneasy and vulnerable."
|
| 22 |
example_title: "Fear"
|
|
|
|
|
|
|
| 23 |
base_model: distilbert-base-uncased
|
| 24 |
model-index:
|
| 25 |
- name: distilbert-base-uncased-finetuned-emotion-balanced
|
|
|
|
| 20 |
example_title: "Anger"
|
| 21 |
- text: "In the quiet of the night, the gentle rustling of leaves outside her window sent shivers down her spine, leaving her feeling uneasy and vulnerable."
|
| 22 |
example_title: "Fear"
|
| 23 |
+
- text: "Upon opening the old dusty book, a delicate, hand-painted map fell out, revealing hidden treasures she never expected to find."
|
| 24 |
+
example_title: "Surprise"
|
| 25 |
base_model: distilbert-base-uncased
|
| 26 |
model-index:
|
| 27 |
- name: distilbert-base-uncased-finetuned-emotion-balanced
|