Instructions to use VinMir/GordonAI-fact_checking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VinMir/GordonAI-fact_checking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VinMir/GordonAI-fact_checking")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VinMir/GordonAI-fact_checking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from VinMir/GordonAI-fact_checking: direct link, hf CLI and curl.
- Browser
- Download file 19.7 kB
-
https://huggingface.co/VinMir/GordonAI-fact_checking/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://VinMir/GordonAI-fact_checking/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/VinMir/GordonAI-fact_checking/resolve/main/tokenizer_config.json
19.7 kB
- Xet hash:
- 07fbb7e861c27bd5eab6ecc0e54c9711daec3c41a6a07e607fa6dae4ffea3d79
- Size of remote file:
- 19.7 kB
- SHA256:
- 8032d12bf0b260fc43a05ceb8e640f31847c5f97c9ef7c0229109a62458147c7
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