Instructions to use vumichien/emo-mobilebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vumichien/emo-mobilebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vumichien/emo-mobilebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vumichien/emo-mobilebert") model = AutoModelForSequenceClassification.from_pretrained("vumichien/emo-mobilebert") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
- generated_from_keras_callback
|
|
|
|
| 4 |
model-index:
|
| 5 |
- name: tf-emo-mobilebert
|
| 6 |
results: []
|
|
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
- generated_from_keras_callback
|
| 4 |
+
base_model: lordtt13/emo-mobilebert
|
| 5 |
model-index:
|
| 6 |
- name: tf-emo-mobilebert
|
| 7 |
results: []
|