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:
- a08c9e892d9d97aee32edae9b7817c6fc4e0d55ceb38b3f7109dba0c80ff5db1
- Size of remote file:
- 1.34 GB
- SHA256:
- 4cf4ee14dfccaed90d3a0d35c0d5ffbb7d08b4fa5a50c9f85272bc171b2aaf7b
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