Instructions to use Synthyra/Profluent-E1-600M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/Profluent-E1-600M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/Profluent-E1-600M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/Profluent-E1-600M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
12 days ago
-
Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity)
Verified signatureb7343aa
28 days ago
-
Sync current FastPLMs source, model cards and dependencies
Verified signature527764d -
Update FastPLMs files
Verified signaturea9b9dc5
29 days ago
-
Apply coding standards from 1cb5747 (files only)
Verified signatured32147c -
Update FastPLMs runtime and cards from 328deef (files only)
Verified signature125be3c
-
Update FastPLMs runtime and model cards
Verified signaturecd397c1
-
Update FastPLMs files
Verified signature1de4e76
-
Update FastPLMs files
Verified signature691299c
-
Update FastPLMs files
Verified signatureb02a330
-
Update FastPLMs runtime and model cards
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.faef572
-
Update FastPLMs runtime files
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.2dfc442 -
Update FastPLMs runtime files
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.4723b99