CJIS v3.0 cjis-frames-classifier - Climate journalism multi-label classifier
Browse files- README.md +44 -0
- config.json +58 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +21 -0
README.md
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---
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language: en
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license: mit
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library_name: pytorch
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tags:
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- climate-journalism
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- cjis-copilot
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- frames
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- multi-label-classification
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# Base: Custom MLM-trained DeBERTa (not on HuggingFace Hub)
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---
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# CJIS Co-pilot: Frames Classifier
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Part of the Climate Journalism Intelligence System (CJIS) v3.0 "Journalistic Co-pilot".
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## Architecture
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- Base: Climate-pretrained DeBERTa (MLM on 20k climate articles)
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- Head: Specialist classifier for frames
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## Task
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Frames classification for climate journalism articles.
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## Labels (8)
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- `scientific`
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- `crisis`
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- `economic_solutions`
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- `political`
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- `justice_responsibility`
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- `health_ecological`
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- `security`
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- `human_interest`
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## Usage
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```python
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from transformers import pipeline
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classifier = pipeline(
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"text-classification",
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model="maai-org/cjis-frames-classifier",
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return_all_scores=True
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)
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result = classifier("Your climate article here...")
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config.json
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{
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": null,
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"dtype": "float32",
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"eos_token_id": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "scientific",
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"1": "crisis",
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"2": "economic_solutions",
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"3": "political",
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"4": "justice_responsibility",
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"5": "health_ecological",
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"6": "security",
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"7": "human_interest"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"crisis": 1,
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"economic_solutions": 2,
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"health_ecological": 5,
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"human_interest": 7,
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"justice_responsibility": 4,
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"political": 3,
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"scientific": 0,
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"security": 6
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},
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"layer_norm_eps": 1e-07,
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"legacy": true,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8190c0ba919ed4ff6fd7cba655ef1556bff761494a16a1f3b981f2a1ed9c5be
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size 737737736
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"is_local": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"model_specific_special_tokens": {},
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_id": 3,
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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