Instructions to use Dundalia/bert-tiny_coqa_conv_1337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dundalia/bert-tiny_coqa_conv_1337 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dundalia/bert-tiny_coqa_conv_1337") model = AutoModelForSeq2SeqLM.from_pretrained("Dundalia/bert-tiny_coqa_conv_1337", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a9d7d02c565d1479125f427bba2c96eb0f5057ebafd63009fff99713c659a34
- Size of remote file:
- 18.3 MB
- SHA256:
- a2c3a1fb66d07cf6acd39d0b806c0d0f79fb103ba2242613aaa15616aeebf2d4
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