Instructions to use zhihan1996/DNA_bert_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhihan1996/DNA_bert_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zhihan1996/DNA_bert_5", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zhihan1996/DNA_bert_5", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("zhihan1996/DNA_bert_5", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4eb5d5e2e63421752b1d64a6a13c0c6e644897af7f264af1889d65bda7b68225
- Size of remote file:
- 350 MB
- SHA256:
- 232c27b78c04f9770973a018ad753d9ad182947b6b6194c4844da80e60f39de1
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