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
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot