Instructions to use Benjamin-eecs/Llama-3.1-8B-Instruct-NLRL-TicTacToe-Policy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjamin-eecs/Llama-3.1-8B-Instruct-NLRL-TicTacToe-Policy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Benjamin-eecs/Llama-3.1-8B-Instruct-NLRL-TicTacToe-Policy")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Benjamin-eecs/Llama-3.1-8B-Instruct-NLRL-TicTacToe-Policy") model = AutoModel.from_pretrained("Benjamin-eecs/Llama-3.1-8B-Instruct-NLRL-TicTacToe-Policy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 439 Bytes
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