Felix Marty

fix?

74b941a almost 4 years ago

616 Bytes

from transformers import AutoFeatureExtractor, AutoModelForImageClassification
import torch
from datasets import load_dataset

model = AutoModelForImageClassification.from_pretrained(".", trust_remote_code=True)

dataset = load_dataset("huggingface/cats-image")
image = dataset["test"]["image"][0]

feature_extractor = AutoFeatureExtractor.from_pretrained(".")

inputs = feature_extractor(image, return_tensors="pt")

with torch.no_grad():
    logits = model(**inputs).logits

# model predicts one of the 1000 ImageNet classes
predicted_label = logits.argmax(-1).item()
print(model.config.id2label[predicted_label])

	from transformers import AutoFeatureExtractor, AutoModelForImageClassification
	import torch
	from datasets import load_dataset

	model = AutoModelForImageClassification.from_pretrained(".", trust_remote_code=True)

	dataset = load_dataset("huggingface/cats-image")
	image = dataset["test"]["image"][0]

	feature_extractor = AutoFeatureExtractor.from_pretrained(".")

	inputs = feature_extractor(image, return_tensors="pt")

	with torch.no_grad():
	logits = model(**inputs).logits

	# model predicts one of the 1000 ImageNet classes
	predicted_label = logits.argmax(-1).item()
	print(model.config.id2label[predicted_label])