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 tokenizer_config.json from apanc/russian-sensitive-topics: direct link, hf CLI and curl.
- Browser
- Download file 524 Bytes
-
https://huggingface.co/apanc/russian-sensitive-topics/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://apanc/russian-sensitive-topics/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/apanc/russian-sensitive-topics/resolve/main/tokenizer_config.json
524 Bytes
| {"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": "/root/.cache/huggingface/transformers/1f428acdde727eed5de979d6856ce350a470be2a64e134a1fdae04af78a27301.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "tokenizer_file": null, "name_or_path": "DeepPavlov/rubert-base-cased-conversational"} |