Instructions to use zhihan1996/DNABERT-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhihan1996/DNABERT-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zhihan1996/DNABERT-S", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zhihan1996/DNABERT-S", trust_remote_code=True) model = AutoModel.from_pretrained("zhihan1996/DNABERT-S", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from zhihan1996/DNABERT-S: direct link, hf CLI and curl.
- Browser
- Download file 54 Bytes
-
https://huggingface.co/zhihan1996/DNABERT-S/resolve/main/README.md
- Command line
-
hf download hf://zhihan1996/DNABERT-S/README.md
-
curl -L -o README.md https://huggingface.co/zhihan1996/DNABERT-S/resolve/main/README.md
54 Bytes
metadata
license: apache-2.0
tags:
- biology
- genomics