Instructions to use Capreolus/birch-bert-large-car_mb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Capreolus/birch-bert-large-car_mb with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("Capreolus/birch-bert-large-car_mb") model = AutoModelForNextSentencePrediction.from_pretrained("Capreolus/birch-bert-large-car_mb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d0ffa197b1749832bb0bd66dcec5053cec744b4b9949645a8c8baf36a53786f
- Size of remote file:
- 1.34 GB
- SHA256:
- 6dc8e242c6289128dd25b4ef18dab1e1ba539362cc7202d3ffbee99013a097f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.