Instructions to use kazzand/ru-longformer-tiny-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kazzand/ru-longformer-tiny-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kazzand/ru-longformer-tiny-16384")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kazzand/ru-longformer-tiny-16384") model = AutoModelForMaskedLM.from_pretrained("kazzand/ru-longformer-tiny-16384") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md c29763a
Update README.md 19468da
Update README.md 9a68f63
Update README.md 08281b7
Create README.md 71073ae
wiki checkpoint best 1ce35f8
tiny 16384 experiment fe86055
a.kaznacheev commited on