Instructions to use M-CLIP/M-BERT-Base-69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-CLIP/M-BERT-Base-69 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="M-CLIP/M-BERT-Base-69")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("M-CLIP/M-BERT-Base-69") model = AutoModel.from_pretrained("M-CLIP/M-BERT-Base-69") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f317f07fefd130bc805efe6e9f2fc284e13fb73434ae58dd529e411c5586ef4
- Size of remote file:
- 711 MB
- SHA256:
- 08cfa8fc5b10ffae5a720238ecf31f5b0a798aa85d6ab6d268234dfe74529447
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