Text Generation
Transformers
Safetensors
chess_transformer
chess
llm-course
chess-challenge
custom_code
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("LLM-course/my-chess-model", trust_remote_code=True, dtype="auto")Quick Links
my-chess-model
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: nathanael-fijalkow
- Parameters: 909,824
- Organization: LLM-course
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("LLM-course/my-chess-model", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("LLM-course/my-chess-model", trust_remote_code=True)
Evaluation
This model is evaluated at the Chess Challenge Arena.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LLM-course/my-chess-model", trust_remote_code=True)