Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_0") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e63b656026ec70cd80429c3e5e8097657fe192bc955f061104e29dcb7f06bde
- Size of remote file:
- 340 MB
- SHA256:
- 43d4a7839f23ffe481d294ef1934510e0c71c2bc893a6254c4b4fa25567a5d3a
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