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
- Xet hash:
- 9556ec87e62b79ca13c53bc810a873784f41fc5005b4c2fc2311f0ef2c59b1bf
- Size of remote file:
- 714 MB
- SHA256:
- fd27cfaf223988a888b95f78215321d4ae2d5676e27fe5feb70ae5eedcc2fb49
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