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 tf_model.h5 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/tf_model.h5
- Command line
-
hf download hf://apanc/russian-sensitive-topics/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/apanc/russian-sensitive-topics/resolve/main/tf_model.h5
713 MB
- Xet hash:
- 189d10107c278768bf62e02b2d5c18fa52eaa2648b4d2abc85a0a025c2e3bced
- Size of remote file:
- 713 MB
- SHA256:
- a4cb85a8f713aee4e40c512f67666d6e69609a524637022243a9f4ff8a53191c
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