Instructions to use waelChafei/T5tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waelChafei/T5tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="waelChafei/T5tuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("waelChafei/T5tuned") model = AutoModelForSequenceClassification.from_pretrained("waelChafei/T5tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from waelChafei/T5tuned: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
-
https://huggingface.co/waelChafei/T5tuned/resolve/main/tokenizer.json
- Command line
-
hf download hf://waelChafei/T5tuned/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/waelChafei/T5tuned/resolve/main/tokenizer.json
1.39 MB
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