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 AutoTokenizer, EsmForDPLM2 tokenizer = AutoTokenizer.from_pretrained("Synthyra/DPLM2-650M", trust_remote_code=True) model = EsmForDPLM2.from_pretrained("Synthyra/DPLM2-650M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 255 Bytes
d79f152 | 1 2 3 4 5 6 7 8 9 10 | from transformers import PreTrainedTokenizerBase
class BaseSequenceTokenizer:
def __init__(self, tokenizer: PreTrainedTokenizerBase):
self.tokenizer = tokenizer
def __call__(self, sequences, **kwargs):
raise NotImplementedError
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