Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_1") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc526253108f85d31cd00ae7aceb0a97a7dbdd29aadde1ef20d06095299f71bc
- Size of remote file:
- 340 MB
- SHA256:
- ef1e73dd94b56e9dffceb0def46ec3b1476f92ee246e91929881b027a5661c4b
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