Instructions to use stereologic/florence2-encoder-sampling-small-batch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stereologic/florence2-encoder-sampling-small-batch with Transformers:
# Load model directly from transformers import AutoProcessor, Florence2Pretrain processor = AutoProcessor.from_pretrained("stereologic/florence2-encoder-sampling-small-batch", trust_remote_code=True) model = Florence2Pretrain.from_pretrained("stereologic/florence2-encoder-sampling-small-batch", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1f95aef804b9630008bb762a6f3478a36ab4f0f6971e7374be0736c3b6fc15f
- Size of remote file:
- 4.98 kB
- SHA256:
- 38b83d8b61303040b6364fe111f87d62ae3f18e630baf8fe95440eaa15db4315
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