Instructions to use M-CLIP/M-BERT-Base-ViT-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-CLIP/M-BERT-Base-ViT-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="M-CLIP/M-BERT-Base-ViT-B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("M-CLIP/M-BERT-Base-ViT-B") model = AutoModel.from_pretrained("M-CLIP/M-BERT-Base-ViT-B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c67f6ed58c9f3375c31d3128e2b347f596b5afad9187f7de0e0f0e6dbd28cfd
- Size of remote file:
- 711 MB
- SHA256:
- 87397c2e918535755856b322bd07cc894cc4ca39340c8440d0c4b9c62b4db39c
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