# Levanter Backpacks | |
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. | |