Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_7 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_7") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f4be1d580ee7c680c6f6eb95be7fe86b9b04b98ebb9bf27afb32c031c8a02ee
- Size of remote file:
- 340 MB
- SHA256:
- b49549c267a884d8b73aa8e6b9a5f2b10c52da36a26e8b9c9c32632717c6da27
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