Instructions to use M-CLIP/M-BERT-Distil-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-CLIP/M-BERT-Distil-40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="M-CLIP/M-BERT-Distil-40")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("M-CLIP/M-BERT-Distil-40") model = AutoModel.from_pretrained("M-CLIP/M-BERT-Distil-40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a1b0d42a253d42beff6367374a5de0b1b4415da9a8a0ac648ad76fa12a8a9fc
- Size of remote file:
- 539 MB
- SHA256:
- 371227d21f059179def9450dc2c30b2f8d77a41fadc2fcbaa97228c7f7ed039f
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