Instructions to use lordtt13/emo-mobilebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lordtt13/emo-mobilebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lordtt13/emo-mobilebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lordtt13/emo-mobilebert") model = AutoModelForSequenceClassification.from_pretrained("lordtt13/emo-mobilebert") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
b59b02f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:46a9db2063f45d273056c74d1b685dcb75c669b483c75db788cd92ab539fc566
size 85085771
|