Text Classification
Transformers
Safetensors
English
emcoder
feature-extraction
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 AutoModel model = AutoModel.from_pretrained("yezdata/EmCoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "admiration": { | |
| "p": 0.6714285714285715, | |
| "u": 0.08333333333333334, | |
| "f1": 0.676595744680851 | |
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| "amusement": { | |
| "p": 0.6714285714285715, | |
| "u": 0.12777777777777777, | |
| "f1": 0.7766116941529235 | |
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| "anger": { | |
| "p": 0.3857142857142858, | |
| "u": 0.15000000000000002, | |
| "f1": 0.4346076458752515 | |
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| "annoyance": { | |
| "p": 0.3285714285714286, | |
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| "f1": 0.3233665559246955 | |
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| "approval": { | |
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| "f1": 0.2837162837162837 | |
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| "caring": { | |
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| "u": 0.12777777777777777, | |
| "f1": 0.35097493036211697 | |
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| "confusion": { | |
| "p": 0.5, | |
| "u": 0.07222222222222223, | |
| "f1": 0.40226628895184136 | |
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| "f1": 0.528023598820059 | |
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| "desire": { | |
| "p": 0.7857142857142857, | |
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| "disapproval": { | |
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| "f1": 0.32 | |
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| "f1": 0.4 | |
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| "optimism": { | |
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| "realization": { | |
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| "p": 0.5, | |
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| "f1": 0.25806451612903225 | |
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| "neutral": { | |
| "p": 0.3857142857142858, | |
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| "f1": 0.6574572699601967 | |
| } | |
| } |