Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_6") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4f39dc4b51c3b9bf9009e3d2771aff90ab74ae127fffae37392a32ae8ef536f
- Size of remote file:
- 340 MB
- SHA256:
- a615407bb9ec5f62ed8e5ae8938337e541e94f4ba04de17a7593283877d41f6d
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