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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f09db01739dde4d9af0a10e8d8e731a20b4cba9a968bd6d9b22192da28fe94a3
- Size of remote file:
- 711 MB
- SHA256:
- a7d0f9eaa2e32c73ea5fe897e125cbc9eb0cdab0336068af06e5756f0a7111ac
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