Instructions to use not-lain/MyRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use not-lain/MyRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="not-lain/MyRepo", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("not-lain/MyRepo", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 464 Bytes
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from transformers import PretrainedConfig
from typing import List
class MnistConfig(PretrainedConfig):
# since we have an image classification task
# we need to put a model type that is close to our task
# don't worry this will not affect our model
model_type = "MobileNetV1"
def __init__(
self,
conv1=10,
conv2=20,
**kwargs):
self.conv1 = conv1
self.conv2 = conv2
super().__init__(**kwargs)
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