Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Smaraa/bart-text-simplification_1e4_adafactor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Smaraa/bart-text-simplification_1e4_adafactor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor") model = AutoModelForSeq2SeqLM.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Smaraa/bart-text-simplification_1e4_adafactor: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/Smaraa/bart-text-simplification_1e4_adafactor/resolve/main/tokenizer.json
- Command line
-
hf download hf://Smaraa/bart-text-simplification_1e4_adafactor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Smaraa/bart-text-simplification_1e4_adafactor/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.