Instructions to use IBoH/BERT2BERT_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IBoH/BERT2BERT_Model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IBoH/BERT2BERT_Model") model = AutoModelForSeq2SeqLM.from_pretrained("IBoH/BERT2BERT_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IBoH/BERT2BERT_Model: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/IBoH/BERT2BERT_Model/resolve/main/training_args.bin
- Command line
-
hf download hf://IBoH/BERT2BERT_Model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IBoH/BERT2BERT_Model/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 0257d81b34757bb9c435601676d5601e2574d38ec9bbc0d1df9be2decc60de1a
- Size of remote file:
- 4.09 kB
- SHA256:
- a8f96c20ea770de228841667c43cd761d344d5e4894d805b139a7f97058524ca
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