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
File size: 1,064 Bytes
4c5ac37 | 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 | {
"batches": {
"1": {
"sec_per_step_median": 4.0073,
"sec_per_step_mean": 4.0064,
"sec_per_sample": 4.0073,
"samples_per_sec": 0.25,
"speedup_vs_batch1": 1.0,
"peak_mem_GiB": 31.58,
"max_rna_nt_in_batch": 1022,
"steps": 3
},
"2": {
"sec_per_step_median": 8.504,
"sec_per_step_mean": 8.4372,
"sec_per_sample": 4.252,
"samples_per_sec": 0.235,
"speedup_vs_batch1": 0.942,
"peak_mem_GiB": 48.93,
"max_rna_nt_in_batch": 1022,
"steps": 3
},
"4": {
"sec_per_step_median": 20.2776,
"sec_per_step_mean": 20.2452,
"sec_per_sample": 5.0694,
"samples_per_sec": 0.197,
"speedup_vs_batch1": 0.79,
"peak_mem_GiB": 90.65,
"max_rna_nt_in_batch": 1022,
"steps": 3
}
},
"data": "C:\\qwen-api\\RNAQwen\\data\\processed\\rnaqa_rnacentral_all.jsonl",
"n_samples": 1121,
"device": "AMD Radeon(TM) 8060S Graphics",
"mem_total_GiB": 99.74,
"grad_checkpointing": true
} |