Instructions to use Synthyra/DPLM2-650M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/DPLM2-650M with Transformers:
# Load model directly from transformers import EsmForDPLM2 model = EsmForDPLM2.from_pretrained("Synthyra/DPLM2-650M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers import PreTrainedTokenizerBase | |
| class BaseSequenceTokenizer: | |
| def __init__(self, tokenizer: PreTrainedTokenizerBase): | |
| self.tokenizer = tokenizer | |
| def __call__(self, sequences, **kwargs): | |
| raise NotImplementedError | |