Instructions to use eternalGenius/rubert_level2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eternalGenius/rubert_level2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eternalGenius/rubert_level2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eternalGenius/rubert_level2") model = AutoModelForSequenceClassification.from_pretrained("eternalGenius/rubert_level2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 518e19f961d8cc2cc8d7cc45474a4611a2d1a03bafe022d66fed312dbad9b7ee
- Size of remote file:
- 5.2 kB
- SHA256:
- 9771be977be3b8504664036ddfa90cf77e365fe48fa1f596388626f3a57d2cfc
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