Instructions to use Dundalia/bert-tiny_coqa_non_conv_2022 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_2022 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dundalia/bert-tiny_coqa_non_conv_2022") model = AutoModelForSeq2SeqLM.from_pretrained("Dundalia/bert-tiny_coqa_non_conv_2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Dundalia/bert-tiny_coqa_non_conv_2022: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Dundalia/bert-tiny_coqa_non_conv_2022/resolve/main/tokenizer.json
- Command line
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hf download hf://Dundalia/bert-tiny_coqa_non_conv_2022/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Dundalia/bert-tiny_coqa_non_conv_2022/resolve/main/tokenizer.json
712 kB
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