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
- Xet hash:
- a3065617350c4d126e8e1152ffc0d58db8c7c4606991f3f2b280a3c9a8b11356
- Size of remote file:
- 409 kB
- SHA256:
- f5122f2a4c98538557f90063a9bcf092ae2368dc31d8e46353ec796bf0aaabb4
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