Instructions to use Synthyra/DPLM-650M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/DPLM-650M with Transformers:
# Load model directly from transformers import EsmForDPLM model = EsmForDPLM.from_pretrained("Synthyra/DPLM-650M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload base_tokenizer.py with huggingface_hub
Browse files- base_tokenizer.py +9 -0
base_tokenizer.py
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from transformers import PreTrainedTokenizerBase
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class BaseSequenceTokenizer:
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def __init__(self, tokenizer: PreTrainedTokenizerBase):
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self.tokenizer = tokenizer
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def __call__(self, sequences, **kwargs):
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raise NotImplementedError
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