Instructions to use mrm8488/RuPERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RuPERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/RuPERTa-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/RuPERTa-base") model = AutoModelForMaskedLM.from_pretrained("mrm8488/RuPERTa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
677ce6c
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Parent(s): a0acd5d
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:0dbe4e9f5bc35d5c2255774623e8606ce4bc98a176d61819f61166452f69d46d
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size 504133843
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