from transformers import PretrainedConfig | |
import torch.nn as nn | |
from typing import List, Union | |
class ChimeraConfig(PretrainedConfig): | |
model_type = "marqo-chimera-arctic-bge-m" | |
def __init__(self, **kwargs): | |
super().__init__(**kwargs) | |
from transformers import PretrainedConfig | |
import torch.nn as nn | |
from typing import List, Union | |
class ChimeraConfig(PretrainedConfig): | |
model_type = "marqo-chimera-arctic-bge-m" | |
def __init__(self, **kwargs): | |
super().__init__(**kwargs) | |