Instructions to use akoksal/MTMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akoksal/MTMB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="akoksal/MTMB")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("akoksal/MTMB") model = AutoModel.from_pretrained("akoksal/MTMB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d20b06f1b631745d18d0955170b49154dd8d8ec9c8761f995a2e9d4f45d7d8a8
- Size of remote file:
- 711 MB
- SHA256:
- 6d2dbd4837494198cc860f4b11cda0d6f77f5ac5c21a8a6536aee9d3b2cc2d5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.