Instructions to use EinsZwo/1_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EinsZwo/1_python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EinsZwo/1_python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EinsZwo/1_python") model = AutoModelForMaskedLM.from_pretrained("EinsZwo/1_python") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("EinsZwo/1_python")
model = AutoModelForMaskedLM.from_pretrained("EinsZwo/1_python")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EinsZwo/1_python")