Transformers
PyTorch
Safetensors
English
Russian
t5
text2text-generation
Cometrain AutoCode
Cometrain AlphaML
moex
text-generation-inference
Instructions to use cometrain/moexT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cometrain/moexT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cometrain/moexT5") model = AutoModelForSeq2SeqLM.from_pretrained("cometrain/moexT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cometrain/moexT5: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/cometrain/moexT5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cometrain/moexT5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cometrain/moexT5/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 0013392d5a1e1a91e49b87a2806229fdd83cda6838c8a40013c0aa9b9fbbed96
- Size of remote file:
- 242 MB
- SHA256:
- 8f53a653d18279e6c53f5a2859a3104b1b76a04a69072aac266c137ab55612f5
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