Instructions to use airkingbd/dplm_650m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm_650m with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForDPLM tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm_650m") model = EsmForDPLM.from_pretrained("airkingbd/dplm_650m") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name and license
#5
by nielsr HF Staff - opened
This PR adds the pipeline tag, the library name and the license to the model card metadata.