Instructions to use EinsZwo/025_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EinsZwo/025_python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EinsZwo/025_python")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EinsZwo/025_python") model = AutoModelForMaskedLM.from_pretrained("EinsZwo/025_python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 4500
83e7677 -
Training in progress, step 4000
ff2c3cd -
Training in progress, step 3500
e196d1c -
Training in progress, step 3000
210e959 -
Training in progress, step 2500
f15ee59 -
Training in progress, step 2000
c6b566f -
Training in progress, step 1500
97df040 -
Training in progress, step 1000
5f930cb -
Training in progress, step 500
2f41acd -
initial commit
adf36df