Instructions to use 0x7o/rubert-base-massive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x7o/rubert-base-massive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="0x7o/rubert-base-massive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("0x7o/rubert-base-massive") model = AutoModelForSequenceClassification.from_pretrained("0x7o/rubert-base-massive") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:79274adb73abdf48943ee4b3941793e0a8f4bac7004b14deea69af3319798215
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size 713441608
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