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/DA-BPE-CEREBRAS")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("RyeAI/DA-BPE-CEREBRAS")
model = AutoModelForCausalLM.from_pretrained("RyeAI/DA-BPE-CEREBRAS")
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DA-BPE-CEREBRAS

This CerebrasGPT-111M model employs a standard Byte-Pair-Encoding (BPE) tokenizer for Danish text. It serves as a benchmark to compare against morphology-aware tokenizers.

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