Text Classification
Transformers
Safetensors
English
emcoder
emotion-recognition
bayesian-deep-learning
mc-dropout
uncertainty-quantification
multi-label-classification
custom_code
Eval Results (legacy)
Instructions to use yezdata/EmCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yezdata/EmCoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yezdata/EmCoder", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yezdata/EmCoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "admiration": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.6646403242147924 | |
| }, | |
| "amusement": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.7877862595419848 | |
| }, | |
| "anger": { | |
| "p": 0.5571428571428572, | |
| "f1": 0.43231441048034935 | |
| }, | |
| "annoyance": { | |
| "p": 0.3857142857142858, | |
| "f1": 0.32748538011695905 | |
| }, | |
| "approval": { | |
| "p": 0.3285714285714286, | |
| "f1": 0.30103480714957664 | |
| }, | |
| "caring": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.33440514469453375 | |
| }, | |
| "confusion": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.3940520446096654 | |
| }, | |
| "curiosity": { | |
| "p": 0.5571428571428572, | |
| "f1": 0.5225225225225225 | |
| }, | |
| "desire": { | |
| "p": 0.7285714285714286, | |
| "f1": 0.5228758169934641 | |
| }, | |
| "disappointment": { | |
| "p": 0.5571428571428572, | |
| "f1": 0.2638888888888889 | |
| }, | |
| "disapproval": { | |
| "p": 0.3857142857142858, | |
| "f1": 0.3365617433414044 | |
| }, | |
| "disgust": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.44680851063829785 | |
| }, | |
| "embarrassment": { | |
| "p": 0.8428571428571429, | |
| "f1": 0.5454545454545454 | |
| }, | |
| "excitement": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.29411764705882354 | |
| }, | |
| "fear": { | |
| "p": 0.7857142857142857, | |
| "f1": 0.5365853658536586 | |
| }, | |
| "gratitude": { | |
| "p": 0.8428571428571429, | |
| "f1": 0.9135446685878963 | |
| }, | |
| "grief": { | |
| "p": 0.5571428571428572, | |
| "f1": 0.4166666666666667 | |
| }, | |
| "joy": { | |
| "p": 0.7857142857142857, | |
| "f1": 0.5679012345679012 | |
| }, | |
| "love": { | |
| "p": 0.7857142857142857, | |
| "f1": 0.7805755395683454 | |
| }, | |
| "nervousness": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.4 | |
| }, | |
| "optimism": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.5983827493261455 | |
| }, | |
| "pride": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.6666666666666666 | |
| }, | |
| "realization": { | |
| "p": 0.5571428571428572, | |
| "f1": 0.24390243902439024 | |
| }, | |
| "relief": { | |
| "p": 0.7285714285714286, | |
| "f1": 0.24 | |
| }, | |
| "remorse": { | |
| "p": 0.7857142857142857, | |
| "f1": 0.7682119205298014 | |
| }, | |
| "sadness": { | |
| "p": 0.6142857142857143, | |
| "f1": 0.4875 | |
| }, | |
| "surprise": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.5092250922509225 | |
| }, | |
| "neutral": { | |
| "p": 0.3285714285714286, | |
| "f1": 0.6542099192618224 | |
| } | |
| } |