Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_3") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7d8624a87fd12e30b99209bc8d1374dc3cbb45d229088a042bd2c0fec657095
- Size of remote file:
- 340 MB
- SHA256:
- 775a08c4725ec817a7563cabe5698aaf8be07ec63c7b5e3307672f2a717dd89d
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