Text Classification
MLX
Joblib
English
political-nlp
political-ideology
viewpoint-classification
political-slant
us-politics
stance-detection
binary-classification
ensemble
mixture-model
probability-calibration
mistral
qwen
lora
apple-silicon
english-text-classification
Instructions to use ddrisco11/PoSSUM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddrisco11/PoSSUM with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ddrisco11/PoSSUM --local-dir PoSSUM
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 5,896 Bytes
4fac2b0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | {
"format_version": 1,
"status": "development candidate; final topic holdout pending",
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"components": {
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"model": "qwen_chat",
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"model": "mistral_human_lora_e2",
"calibrator": "components/mistral_human_lora_e2_calibrator.joblib",
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"dataset": {
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"preprocessing": "remove BOM; collapse whitespace",
"limitations": [
"Development selection is not a final test.",
"Human labels map multiple ideology facets to one binary axis.",
"Human validation is strongly left-skewed.",
"Author-disjointness is unavailable."
]
} |