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 flax_model.msgpack 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/flax_model.msgpack
- Command line
-
hf download hf://apanc/russian-sensitive-topics/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/apanc/russian-sensitive-topics/resolve/main/flax_model.msgpack
713 MB
- Xet hash:
- 1a9d8b6194fbb2b1850e281d1c7172dc12966bf1eaf99697e93b2cb50c76596b
- Size of remote file:
- 713 MB
- SHA256:
- 328b9793695aa851976f9745f9a0fea3bd2a0e469bd8dc5c29bcd7cf6ab11344
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