Instructions to use airkingbd/dplm_150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm_150m with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForDPLM tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm_150m") model = EsmForDPLM.from_pretrained("airkingbd/dplm_150m") - Notebooks
- Google Colab
- Kaggle
Add library name, pipeline tag and license
#5
by nielsr HF Staff - opened
This PR improves the model card by:
- adding the
pipeline_tagto enable filtering on the Hugging Face Hub - adding the
library_nameto specify the library used - adding the license information
- adding a link to the project page
- linking the spotlight paper at ICML'25