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
File size: 248 Bytes
fda756e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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
}
} |