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": 0.6142857142857143, | |
| "f1": 0.7186574531095755 | |
| }, | |
| "amusement": { | |
| "p": 0.5, | |
| "f1": 0.7870778267254038 | |
| }, | |
| "anger": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.42744063324538256 | |
| }, | |
| "annoyance": { | |
| "p": 0.5571428571428572, | |
| "f1": 0.3525423728813559 | |
| }, | |
| "approval": { | |
| "p": 0.3857142857142858, | |
| "f1": 0.36084452975047987 | |
| }, | |
| "caring": { | |
| "p": 0.44285714285714284, | |
| "f1": 0.4715909090909091 | |
| }, | |
| "confusion": { | |
| "p": 0.6142857142857143, | |
| "f1": 0.4217252396166134 | |
| }, | |
| "curiosity": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.5331125827814569 | |
| }, | |
| "desire": { | |
| "p": 0.6142857142857143, | |
| "f1": 0.5324675324675324 | |
| }, | |
| "disappointment": { | |
| "p": 0.5, | |
| "f1": 0.36416184971098264 | |
| }, | |
| "disapproval": { | |
| "p": 0.5, | |
| "f1": 0.41025641025641024 | |
| }, | |
| "disgust": { | |
| "p": 0.5, | |
| "f1": 0.425531914893617 | |
| }, | |
| "embarrassment": { | |
| "p": 0.5, | |
| "f1": 0.5294117647058824 | |
| }, | |
| "excitement": { | |
| "p": 0.7857142857142857, | |
| "f1": 0.33986928104575165 | |
| }, | |
| "fear": { | |
| "p": 0.6142857142857143, | |
| "f1": 0.632183908045977 | |
| }, | |
| "gratitude": { | |
| "p": 0.7857142857142857, | |
| "f1": 0.9131075110456554 | |
| }, | |
| "grief": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.45454545454545453 | |
| }, | |
| "joy": { | |
| "p": 0.6142857142857143, | |
| "f1": 0.5688622754491018 | |
| }, | |
| "love": { | |
| "p": 0.7285714285714286, | |
| "f1": 0.8052930056710775 | |
| }, | |
| "nervousness": { | |
| "p": 0.7857142857142857, | |
| "f1": 0.375 | |
| }, | |
| "optimism": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.6054054054054054 | |
| }, | |
| "pride": { | |
| "p": 0.5, | |
| "f1": 0.56 | |
| }, | |
| "realization": { | |
| "p": 0.5, | |
| "f1": 0.24892703862660945 | |
| }, | |
| "relief": { | |
| "p": 0.3285714285714286, | |
| "f1": 0.1935483870967742 | |
| }, | |
| "remorse": { | |
| "p": 0.7285714285714286, | |
| "f1": 0.7916666666666666 | |
| }, | |
| "sadness": { | |
| "p": 0.6714285714285715, | |
| "f1": 0.5255474452554745 | |
| }, | |
| "surprise": { | |
| "p": 0.5, | |
| "f1": 0.5128205128205128 | |
| }, | |
| "neutral": { | |
| "p": 0.3857142857142858, | |
| "f1": 0.6646788990825688 | |
| } | |
| } |