Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_4") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42d7a4b97cd5fb4766c2e019b3e1faaa812f309e128598894e999c0faaa98a95
- Size of remote file:
- 340 MB
- SHA256:
- 36a82f9daded8fc4db15b36d63b6d5b8dfd6bce8d4350e5041986aa8d1c5d987
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