Instructions to use djulian13/bart-base-Middle-Russian-lemmatisation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djulian13/bart-base-Middle-Russian-lemmatisation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("djulian13/bart-base-Middle-Russian-lemmatisation") model = AutoModelForSeq2SeqLM.from_pretrained("djulian13/bart-base-Middle-Russian-lemmatisation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decoder/tokenizer_config.json from djulian13/bart-base-Middle-Russian-lemmatisation: direct link, hf CLI and curl.
- Browser
- Download file 247 Bytes
-
https://huggingface.co/djulian13/bart-base-Middle-Russian-lemmatisation/resolve/main/decoder/tokenizer_config.json
- Command line
-
hf download hf://djulian13/bart-base-Middle-Russian-lemmatisation/decoder/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/djulian13/bart-base-Middle-Russian-lemmatisation/resolve/main/decoder/tokenizer_config.json
247 Bytes
| {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "mmnt_decoder_en", "tokenizer_class": "GPT2Tokenizer"} |