Instructions to use peterhsu/test-bert-finetuned-squad-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterhsu/test-bert-finetuned-squad-accelerate with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterhsu/test-bert-finetuned-squad-accelerate") model = AutoModelForSeq2SeqLM.from_pretrained("peterhsu/test-bert-finetuned-squad-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a39fc7cc9fa07a2000edfb6f0d5d52562f760e23fc530da9a345e8b496e5495f
- Size of remote file:
- 16.3 MB
- SHA256:
- cd38144ed4e51886247b55a7fd9b6fcca7afd7355345b522149ba074b455f2cb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.