Instructions to use Capreolus/birch-bert-large-mb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Capreolus/birch-bert-large-mb with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("Capreolus/birch-bert-large-mb") model = AutoModelForNextSentencePrediction.from_pretrained("Capreolus/birch-bert-large-mb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24199a2b2a54115a892ebbcddd6718db7ac0a57ff3fac4f75567fc50f57abea6
- Size of remote file:
- 1.34 GB
- SHA256:
- c389fbb592b72f51bc63d03d669186812cd3fe34d41a38121a2dd950801d7d11
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