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
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5fba441feddafd882fc7516a99a146657e7a885bef6c78aca785ffc0f99d6b4c
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size 138534264
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