Instructions to use zhihan1996/DNA_bert_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhihan1996/DNA_bert_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zhihan1996/DNA_bert_6", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zhihan1996/DNA_bert_6", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("zhihan1996/DNA_bert_6", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dfd1cd7465d46d9d40f53907ae2687ba23b52dfbb526b99208a5b7840b3cb08
- Size of remote file:
- 359 MB
- SHA256:
- e1688c3a3f881daff02a42b487e04612c4ec9ef33f1f02fa5f4e67d7b9865ca9
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