Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use 71-vueT10/chess-guesser-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 71-vueT10/chess-guesser-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="71-vueT10/chess-guesser-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("71-vueT10/chess-guesser-distilbert") model = AutoModelForSequenceClassification.from_pretrained("71-vueT10/chess-guesser-distilbert") - Notebooks
- Google Colab
- Kaggle
Interested in training this further myself
#1
by YellowjacketGames - opened
I can allocate an RTX A6000 to the task, and I already have clean formatted PGN games in Parquet format. My current task is building an "annotator" that can speak and reason about a chess position, and I can see this model being useful in my experiments.
I've never fine-tuned an LLM before, only trained chess neural nets to play, so this is of special interest to me as a learning project.