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
Commit ·
5da7183
1
Parent(s): f5cc3db
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:87397c2e918535755856b322bd07cc894cc4ca39340c8440d0c4b9c62b4db39c
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size 711420911
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