Instructions to use MohamedElmansy/emotion-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohamedElmansy/emotion-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MohamedElmansy/emotion-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MohamedElmansy/emotion-roberta") model = AutoModelForSequenceClassification.from_pretrained("MohamedElmansy/emotion-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "id2label": { | |
| "0": "sadness", | |
| "1": "joy", | |
| "2": "love", | |
| "3": "anger", | |
| "4": "fear", | |
| "5": "surprise" | |
| }, | |
| "label2id": { | |
| "sadness": 0, | |
| "joy": 1, | |
| "love": 2, | |
| "anger": 3, | |
| "fear": 4, | |
| "surprise": 5 | |
| } | |
| } |