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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 392 Bytes
f11f568 7bcae6a f11f568 7bcae6a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"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
]
}
} |