Transformers
PyTorch
JAX
Kabardian
Russian
multilingual
t5
text2text-generation
circassian
kabardian
text-generation-inference
Instructions to use anzorq/kbd_lat-835k_ru-3M_t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anzorq/kbd_lat-835k_ru-3M_t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anzorq/kbd_lat-835k_ru-3M_t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("anzorq/kbd_lat-835k_ru-3M_t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "sp_model_kwargs": {}, "name_or_path": "./xxxxx", "special_tokens_map_file": "./xxxxx\\special_tokens_map.json", "tokenizer_class": "T5Tokenizer"}
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