Instructions to use basic-go/rut5-base-texificator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basic-go/rut5-base-texificator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("basic-go/rut5-base-texificator") model = AutoModelForSeq2SeqLM.from_pretrained("basic-go/rut5-base-texificator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from basic-go/rut5-base-texificator: direct link, hf CLI and curl.
- Browser
- Download file 977 MB
-
https://huggingface.co/basic-go/rut5-base-texificator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://basic-go/rut5-base-texificator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/basic-go/rut5-base-texificator/resolve/main/pytorch_model.bin
977 MB
- Xet hash:
- f54e063a53b42944dcfc1ae785a45b4ea4bdd02b046eb002e6cc73c0ceed56c5
- Size of remote file:
- 977 MB
- SHA256:
- 3467515b1b57550998dfa5ba409e59ea365b1d1737e9b4d6d833127f18255667
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