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:
- 5f7fe79b1e6923c789b8f70fe4d5c8d58ddf4fd575ef5c153b0ae42da1d5ca8a
- Size of remote file:
- 209 MB
- SHA256:
- 343eeeafac80817a4d3c25583d81fccbe7c258511f4dbfffeea5a9f053b09c01
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