Instructions to use Dundalia/bert-tiny_coqa_non_conv_42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dundalia/bert-tiny_coqa_non_conv_42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dundalia/bert-tiny_coqa_non_conv_42") model = AutoModelForSeq2SeqLM.from_pretrained("Dundalia/bert-tiny_coqa_non_conv_42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbfa27266bedde17488789e1cd1e3e38d69195047243523b5141dd3b559d2871
- Size of remote file:
- 35.8 MB
- SHA256:
- cc7aece84ae5e4f956d9dc70548a9acb36d0ecbf50b0561f7a30850ab60a772f
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