Instructions to use gcyzsl/sup-VisualCSE-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gcyzsl/sup-VisualCSE-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gcyzsl/sup-VisualCSE-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gcyzsl/sup-VisualCSE-bert-base-uncased") model = AutoModel.from_pretrained("gcyzsl/sup-VisualCSE-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66ad11eead5e8eee73b833d7f03130b0f62680cdb4a5a90c3b2a3308fbe1eb09
- Size of remote file:
- 2.61 kB
- SHA256:
- 44fd862d86f98b16df49abd0f2ec5e358e9dd11025c2d5a078529d641edba022
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