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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from apanc/russian-sensitive-topics: direct link, hf CLI and curl.
- Browser
- Download file 713 MB
-
https://huggingface.co/apanc/russian-sensitive-topics/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://apanc/russian-sensitive-topics/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/apanc/russian-sensitive-topics/resolve/main/pytorch_model.bin
713 MB
- Xet hash:
- d4d04c5003e9292e58e45bb19405aba1b8998b2d7e4f19ff08be98b82908be23
- Size of remote file:
- 713 MB
- SHA256:
- 29e03f61e8aaa7dff2939e188afc063c38112cdafd4c551798f763870aa4eb4f
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