Instructions to use google/bert_for_seq_generation_L-24_bbc_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_for_seq_generation_L-24_bbc_encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder") model = AutoModel.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from google/bert_for_seq_generation_L-24_bbc_encoder: direct link, hf CLI and curl.
- Browser
- Download file 846 kB
-
https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model
- Command line
-
hf download hf://google/bert_for_seq_generation_L-24_bbc_encoder/spiece.model
-
curl -L -o spiece.model https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model
846 kB
This file contains binary data. It cannot be displayed, but you can still download it.