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
Delete tokenizer_config.json
Browse files- tokenizer_config.json +0 -17
tokenizer_config.json
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{
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"tokenizer_class": "BinnedOmicTokenizer",
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"n_expressions_bins": 64,
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"min_omic_value": 0.0,
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"max_omic_value": 1.0,
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"use_max_normalization": true,
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"normalization_factor": 5.547176906585117,
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"prepend_cls_token": false,
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"fixed_sequence_length": null,
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"unpadded_length": null,
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"auto_map": {
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"AutoTokenizer": [
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"tokenizer.BinnedOmicTokenizer",
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]
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}
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}
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