from transformers import AutoTokenizer, AutoModelForCausalLM

repo_id = "hyunseoki/verl-math-transfer-7bi-to-3bi-fix07-pool7to1"
tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(repo_id, trust_remote_code=True)

Load a specific checkpoint revision:

python

from transformers import AutoTokenizer, AutoModelForCausalLM

repo_id = "hyunseoki/verl-math-transfer-7bi-to-3bi-fix07-pool7to1"
revision = "step-070"
tokenizer = AutoTokenizer.from_pretrained(repo_id, revision=revision, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(repo_id, revision=revision, trust_remote_code=True)

Notes

Architecture detected from the exported config: Qwen2ForCausalLM
The original base model Hub ID is not encoded in these local checkpoints, so base_model metadata is not set automatically.
Checkpoints were exported from verl FSDP shards into Hugging Face safetensors format.