模型:
stanford-crfm/levanter-backpacks-test
Example:
import torch import transformers from transformers import AutoModelForCausalLM model_id = "ivanzhouyq/levanter-backpacks" config = transformers.AutoConfig.from_pretrained(model_id, trust_remote_code=True) torch_model = AutoModelForCausalLM.from_pretrained(model_id, config=config, trust_remote_code=True) torch_model.eval() input = torch.randint(0, 50264, (1, 512), dtype=torch.long) torch_out = torch_model( input, position_ids=None, ) torch_out = torch.nn.functional.softmax(torch_out.logits, dim=-1)
Note that you need to install safetensors together with transformers and torch to make it work.