Feature Extraction
Transformers
Joblib
Safetensors
BulkRNABert
bulk RNA-seq
biology
transcriptomics
custom_code
Instructions to use InstaDeepAI/BulkRNABert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/BulkRNABert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/BulkRNABert", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/BulkRNABert", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "BinnedOmicTokenizer", | |
| "n_expressions_bins": 64, | |
| "min_omic_value": 0.0, | |
| "max_omic_value": 1.0, | |
| "use_max_normalization": true, | |
| "normalization_factor": 5.547176906585117, | |
| "prepend_cls_token": false, | |
| "fixed_sequence_length": null, | |
| "unpadded_length": null, | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenizer.BinnedOmicTokenizer", | |
| null | |
| ] | |
| } | |
| } |