How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="RyeAI/STD-BPE-LLAMA3.2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("RyeAI/STD-BPE-LLAMA3.2")
model = AutoModelForCausalLM.from_pretrained("RyeAI/STD-BPE-LLAMA3.2", device_map="auto")
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STD-BPE-LLAMA3.2

A standard LLaMA-3.2 model trained with a pretrained Byte-Pair-Encoding (BPE) tokenizer. It provides a benchmark for evaluating the performance of more advanced tokenization approaches.

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