# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/remote_code_model_with_dots", trust_remote_code=True)
model = AutoModel.from_pretrained("hf-internal-testing/remote_code_model_with_dots", trust_remote_code=True)Quick Links
Tiny Qwen2ForCausalLM
This is a minimal model built for unit tests in the TRL library.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/remote_code_model_with_dots", trust_remote_code=True)