Instructions to use hd10/semeval2020_task11_tc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hd10/semeval2020_task11_tc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hd10/semeval2020_task11_tc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hd10/semeval2020_task11_tc") model = AutoModelForSequenceClassification.from_pretrained("hd10/semeval2020_task11_tc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from hd10/semeval2020_task11_tc: direct link, hf CLI and curl.
- Browser
- Download file 71 Bytes
-
https://huggingface.co/hd10/semeval2020_task11_tc/resolve/main/README.md
- Command line
-
hf download hf://hd10/semeval2020_task11_tc/README.md
-
curl -L -o README.md https://huggingface.co/hd10/semeval2020_task11_tc/resolve/main/README.md
71 Bytes
Technique Classification for https://propaganda.qcri.org/ptc/index.html