Instructions to use apanc/russian-sensitive-topics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apanc/russian-sensitive-topics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apanc/russian-sensitive-topics")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apanc/russian-sensitive-topics") model = AutoModelForSequenceClassification.from_pretrained("apanc/russian-sensitive-topics", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1d3dd71a3cde32aea52fa5e0d96826f11370518aac5a6ab8c336951f6749db1
- Size of remote file:
- 2.16 kB
- SHA256:
- 2c9432e3dd78acec3c3d71a112144132fc9ad0a1afeeb0c05f7aea76a5c50c77
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