Instructions to use Saddammm/T5Model100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saddammm/T5Model100 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Saddammm/T5Model100") model = AutoModelForSeq2SeqLM.from_pretrained("Saddammm/T5Model100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
1f9c200 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8eda2d9b4aeed2e5d31f9e0b355450ad224a0c3f8a88f5d74d841f1825d6e7bb
size 1980782714
|