Instructions to use RomanCohort/RNAQwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RomanCohort/RNAQwen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RomanCohort/RNAQwen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add reports/_leak_diag_400.json
Browse files- reports/_leak_diag_400.json +159 -0
reports/_leak_diag_400.json
ADDED
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| 1 |
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{
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| 2 |
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"records": 400,
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| 3 |
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"split_counts": {
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"train": 321,
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"test": 39,
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"val": 40
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},
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| 8 |
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"k": 12,
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| 9 |
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"leaking_kmers_true": 2121,
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| 10 |
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"leaking_record_pairs": 1458,
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| 11 |
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"records_involved": 322,
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| 12 |
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"note": "14_build_evalset.py 打印的数字被 `len(leaks) < 20` 截断,只是上限",
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| 13 |
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"top_pairs": [
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{
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| 15 |
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"shared_kmers": 83,
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| 16 |
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"jaccard_12mer": 0.062,
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| 17 |
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"a": {
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| 18 |
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"uid": "urs:URS00001B3B08|taxid:9606",
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| 19 |
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"ent_id": "LUADT1",
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| 20 |
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"type": "lncRNA",
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"split": "train",
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"n_nt": 453
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},
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"b": {
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"uid": "urs:URS000052446E|taxid:9606",
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"ent_id": "PINK1-AS",
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"type": "lncRNA",
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"split": "test",
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"n_nt": 1022
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}
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},
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{
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"shared_kmers": 64,
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"jaccard_12mer": 0.046,
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"a": {
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"uid": "urs:URS00001B3B08|taxid:9606",
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| 37 |
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"ent_id": "LUADT1",
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| 38 |
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"type": "lncRNA",
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"split": "train",
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| 40 |
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"n_nt": 453
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| 41 |
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},
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| 42 |
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"b": {
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| 43 |
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"uid": "urs:URS000075BAC1|taxid:9606",
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| 44 |
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"ent_id": "LOH12CR2",
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| 45 |
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"type": "lncRNA",
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| 46 |
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"split": "test",
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| 47 |
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"n_nt": 1022
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| 48 |
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}
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| 49 |
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},
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| 50 |
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{
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| 51 |
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"shared_kmers": 45,
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| 52 |
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"jaccard_12mer": 0.027,
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| 53 |
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"a": {
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| 54 |
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"uid": "urs:URS0000052DF4|taxid:9606",
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| 55 |
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"ent_id": "P3H2-AS1",
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| 56 |
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"type": "lncRNA",
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| 57 |
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"split": "train",
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| 58 |
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"n_nt": 730
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| 59 |
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},
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| 60 |
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"b": {
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| 61 |
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"uid": "urs:URS000075BAC1|taxid:9606",
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| 62 |
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"ent_id": "LOH12CR2",
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| 63 |
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"type": "lncRNA",
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| 64 |
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"split": "test",
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| 65 |
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"n_nt": 1022
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| 66 |
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}
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| 67 |
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},
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| 68 |
+
{
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| 69 |
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"shared_kmers": 45,
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| 70 |
+
"jaccard_12mer": 0.027,
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| 71 |
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"a": {
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| 72 |
+
"uid": "urs:URS000052446E|taxid:9606",
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| 73 |
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"ent_id": "PINK1-AS",
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| 74 |
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"type": "lncRNA",
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| 75 |
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"split": "test",
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| 76 |
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"n_nt": 1022
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| 77 |
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},
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| 78 |
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"b": {
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| 79 |
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"uid": "urs:URS0000052DF4|taxid:9606",
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| 80 |
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"ent_id": "P3H2-AS1",
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| 81 |
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"type": "lncRNA",
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| 82 |
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"split": "train",
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| 83 |
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"n_nt": 730
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| 84 |
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}
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| 85 |
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},
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| 86 |
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{
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| 87 |
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"shared_kmers": 44,
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| 88 |
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"jaccard_12mer": 0.4,
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| 89 |
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"a": {
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| 90 |
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"uid": "urs:URS00003FA6CD|taxid:9606",
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| 91 |
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"ent_id": "MIR9-2",
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| 92 |
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"type": "ncRNA",
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"split": "test",
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"n_nt": 87
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},
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| 96 |
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"b": {
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"uid": "urs:URS000075C54E|taxid:9606",
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"ent_id": "MIR9-1",
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"type": "ncRNA",
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"split": "train",
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"n_nt": 89
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}
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},
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| 104 |
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{
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"shared_kmers": 38,
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| 106 |
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"jaccard_12mer": 0.02,
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| 107 |
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"a": {
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| 108 |
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"uid": "urs:URS000075DC05|taxid:9606",
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| 109 |
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"ent_id": "LINC00836",
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| 110 |
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"type": "lncRNA",
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| 111 |
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"split": "test",
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| 112 |
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"n_nt": 1022
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| 113 |
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},
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| 114 |
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"b": {
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| 115 |
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"uid": "urs:URS00007E3A2E|taxid:9606",
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| 116 |
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"ent_id": "CCR5AS",
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| 117 |
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"type": "lncRNA",
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| 118 |
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"split": "train",
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| 119 |
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"n_nt": 951
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| 120 |
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}
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| 121 |
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},
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| 122 |
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{
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| 123 |
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"shared_kmers": 35,
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| 124 |
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"jaccard_12mer": 0.018,
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| 125 |
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"a": {
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| 126 |
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"uid": "urs:URS00022AE7E2|taxid:9606",
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| 127 |
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"ent_id": "MRPL20-DT",
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| 128 |
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"type": "lncRNA",
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"split": "train",
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| 130 |
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"n_nt": 1022
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},
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"b": {
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"uid": "urs:URS00007DCF59|taxid:9606",
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| 134 |
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"ent_id": "RPP38-DT",
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| 135 |
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"type": "lncRNA",
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"split": "test",
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| 137 |
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"n_nt": 1022
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}
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},
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| 140 |
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{
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| 141 |
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"shared_kmers": 34,
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| 142 |
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"jaccard_12mer": 0.017,
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| 143 |
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"a": {
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| 144 |
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"uid": "urs:URS000052446E|taxid:9606",
|
| 145 |
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"ent_id": "PINK1-AS",
|
| 146 |
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"type": "lncRNA",
|
| 147 |
+
"split": "test",
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| 148 |
+
"n_nt": 1022
|
| 149 |
+
},
|
| 150 |
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"b": {
|
| 151 |
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"uid": "urs:URS0000812110|taxid:9606",
|
| 152 |
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"ent_id": "BISPR",
|
| 153 |
+
"type": "lncRNA",
|
| 154 |
+
"split": "train",
|
| 155 |
+
"n_nt": 1022
|
| 156 |
+
}
|
| 157 |
+
}
|
| 158 |
+
]
|
| 159 |
+
}
|