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)# pip install -U transformers accelerate # 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
Download tokenizer_config.json from zhihan1996/DNA_bert_6: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/zhihan1996/DNA_bert_6/resolve/c56e67ea5827e0ddc67ef059addcf71569b1216e/tokenizer_config.json
- Command line
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hf download hf://zhihan1996/DNA_bert_6@c56e67ea5827e0ddc67ef059addcf71569b1216e/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/zhihan1996/DNA_bert_6/resolve/c56e67ea5827e0ddc67ef059addcf71569b1216e/tokenizer_config.json
40 Bytes
| {"do_lower_case": false, "max_len": 512} |