Synthyra/ESMplusplus small This checkpoint packages the FastPLMs ESMC implementation. Accepted inputs are amino acid sequences tokenized to residue IDs. Supported Transformers entry points are AutoConfig , AutoModel , AutoModelForMaskedLM . Capabilities Feature Status Sequence classification Unavailable: no advertised AutoClass Token classification Unavailable: no advertised AutoClass PEFT fine tuning Supported pattern: attach LoRA to the pretrained model Embeddings Supported: shared ordered embedding API Test time training Supported: low rank masked residue adaptation Attention variants Special: SDPA fidelity path; alternate backends have explicit bands Compliance Declared: exact release evidence is required A supported interface is not a pretrained downstream predictor. Classification heads start untrained, and declared compliance metadata is not a claim that an arbitrary local build passed its release gate. Install and platform requirements Install the direct dependencies published with this model: The FastPLMs implementation itself is embedded in the model repository and loaded by Transformers through trust remote code=True . Python 3.11 3.14, PyTorch 2.13, and Transformers 5.1…
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