# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("D-Roberts/tf-efficientformer-l3-300-dev3", dtype="auto")Quick Links
tf-efficientformer-l3-300-dev3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.30.0.dev0
- TensorFlow 2.11.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="D-Roberts/tf-efficientformer-l3-300-dev3")