Instructions to use LLM-course/chess_gh_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLM-course/chess_gh_01 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess_gh_01", dtype="auto") - Notebooks
- Google Colab
- Kaggle
chess_gh_01
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: ghaith1014
- Parameters: 926,336
- Organization: LLM-course
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("LLM-course/chess_gh_01", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("LLM-course/chess_gh_01", trust_remote_code=True)
Evaluation
This model is evaluated at the Chess Challenge Arena.
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# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess_gh_01", dtype="auto")