Instructions to use haielab/BFS-Prover-counterexamples-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haielab/BFS-Prover-counterexamples-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("haielab/BFS-Prover-counterexamples-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from haielab/BFS-Prover-counterexamples-base: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/haielab/BFS-Prover-counterexamples-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://haielab/BFS-Prover-counterexamples-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/haielab/BFS-Prover-counterexamples-base/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 90cb9896a8c834ae8e95ba86d7d71c9ed3971614b3aebb81cf753da54f7f6601
- Size of remote file:
- 11.4 MB
- SHA256:
- 9cc964c8868d09bd12fa06e3cce20f2e7df4dd5803833f1cbee911d384e76632
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