Transformers
Safetensors
t5
text2text-generation
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use Sefika/nell_one_basic_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/nell_one_basic_5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/nell_one_basic_5") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/nell_one_basic_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5b951b4a085aa87152c30debd668f3d1e4c3f6de604275562d9b4ce69fb4cc5
- Size of remote file:
- 340 MB
- SHA256:
- ebb1539752c577f687e62273c281b1dddf4055a90162e0abde8ecaff38dfe034
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