Instructions to use Synthyra/ESMplusplus_6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_6B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
22 days ago
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Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity)
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Give this artifact's bridge its own config and model subclasses (FastPLMs#50)
Verified signatureArtifacts share one FastPLMs runtime per process. Re-exported shared classes let one artifact's model class answer for another with the same config class, for example ESMFold2-300 built as ESMFold2Model after ESMFold2-Fast loaded. Only modeling_fastplms.py changes; the runtime bundle and weights are untouched. https://github.com/Synthyra/FastPLMs/issues/50fe156cb
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Sync current FastPLMs source, model cards and dependencies
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Apply coding standards from 1cb5747 (files only)
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Update FastPLMs runtime and model cards
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Update FastPLMs runtime files
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.d541e58 -
Update FastPLMs runtime files
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Update FastPLMs runtime files
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.7ffc019 -
Update FastPLMs runtime files
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.285c7b5
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