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 pytorch_model.bin from IBoH/BERT2BERT_Model: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/IBoH/BERT2BERT_Model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://IBoH/BERT2BERT_Model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/IBoH/BERT2BERT_Model/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- bab1d3b285507701b186610c0a86e29bf82f8ff733ff1f5ee145a746ec54ec55
- Size of remote file:
- 990 MB
- SHA256:
- 56b9f22fb4b37fa6882a567fc1d67001da58e4ae3309be21fc785cff4a0bbd83
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