Instructions to use mgh6/TCS_MLM_SaProt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/TCS_MLM_SaProt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mgh6/TCS_MLM_SaProt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mgh6/TCS_MLM_SaProt") model = AutoModelForMaskedLM.from_pretrained("mgh6/TCS_MLM_SaProt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
model.safetensors
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runs/Jul01_04-50-52_training-full-02-0-0/events.out.tfevents.1719809453.training-full-02-0-0.3431.0
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training_args.bin
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