Instructions to use dnagpt/dna-eng-t5-base_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnagpt/dna-eng-t5-base_ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dnagpt/dna-eng-t5-base_ft") model = AutoModelForSeq2SeqLM.from_pretrained("dnagpt/dna-eng-t5-base_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from dnagpt/dna-eng-t5-base_ft: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/dnagpt/dna-eng-t5-base_ft/resolve/main/model.safetensors
- Command line
-
hf download hf://dnagpt/dna-eng-t5-base_ft/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dnagpt/dna-eng-t5-base_ft/resolve/main/model.safetensors
308 MB
- Xet hash:
- 1586d8baf0513a86ae025cc2a4c21e1e6052c9ca78c7e1005ce16bcc39b8bdaa
- Size of remote file:
- 308 MB
- SHA256:
- 80d0b51e46a11c09b940cba14a8610af79aa8f42a167cc94ce0b8b7c5fd38784
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.