Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_2") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5d714f776f1520d8ea7af67ff3ac68cbd1de5d03357ef82cd75b215de387971
- Size of remote file:
- 340 MB
- SHA256:
- 2fbf9dffc65dabf9132bb63b73e18de6aa8e6705a102c84074f5658ba9b6ed59
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