Instructions to use zhihan1996/DNA_bert_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhihan1996/DNA_bert_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zhihan1996/DNA_bert_3", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zhihan1996/DNA_bert_3", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("zhihan1996/DNA_bert_3", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48aeaad0afc3a3b68383f7bd6bd4dc1961d759f960c4662214828672680dfd5b
- Size of remote file:
- 347 MB
- SHA256:
- 8b20083ff1a993e022a89c09c2f7047102472fe5232c3815ee50b0b0359032ba
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