Other
Transformers
Safetensors
English
Russian
t5
text2text-generation
text-to-graph
webnlg
bt5
text-generation-inference
Instructions to use Loria-MosAIk/bt5-webnlg-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Loria-MosAIk/bt5-webnlg-en-ru with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Loria-MosAIk/bt5-webnlg-en-ru") model = AutoModelForSeq2SeqLM.from_pretrained("Loria-MosAIk/bt5-webnlg-en-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from Loria-MosAIk/bt5-webnlg-en-ru: direct link, hf CLI and curl.
- Browser
- Download file 828 kB
-
https://huggingface.co/Loria-MosAIk/bt5-webnlg-en-ru/resolve/main/spiece.model
- Command line
-
hf download hf://Loria-MosAIk/bt5-webnlg-en-ru/spiece.model
-
curl -L -o spiece.model https://huggingface.co/Loria-MosAIk/bt5-webnlg-en-ru/resolve/main/spiece.model
828 kB
- Xet hash:
- b5681c7b3af909e77c65d00626f9f17c3c2dca199e29401e213513eb0d3537c8
- Size of remote file:
- 828 kB
- SHA256:
- 76927654c70c667e967c8caca165a3bb1311b415316b6aed8037ed5ede86b10e
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