Configuration Parsing
Warning:
In config.json: "architectures" must be an array
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
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.
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