Instructions to use ZurabDz/output2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZurabDz/output2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZurabDz/output2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZurabDz/output2") model = AutoModelForMaskedLM.from_pretrained("ZurabDz/output2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10100
Browse files
model.safetensors
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runs/Jun07_12-33-16_DESKTOP-69FPKCK/events.out.tfevents.1717788805.DESKTOP-69FPKCK
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