- Libraries
- timm
How to use timm/vit_base_patch16_sapiens2.fb with timm:
import timm
model = timm.create_model("hf-hub:timm/vit_base_patch16_sapiens2.fb", pretrained=True) - sapiens
How to use timm/vit_base_patch16_sapiens2.fb with sapiens:
# No code snippets available yet for this library.
# To use this model, check the repository files and the library's documentation.
# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js
- sapiens2
How to use timm/vit_base_patch16_sapiens2.fb with sapiens2:
# No code snippets available yet for this library.
# To use this model, check the repository files and the library's documentation.
# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js
- Transformers
How to use timm/vit_base_patch16_sapiens2.fb with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-feature-extraction", model="timm/vit_base_patch16_sapiens2.fb") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("timm/vit_base_patch16_sapiens2.fb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
