Instructions to use Salesforce/qaconv-unifiedqa-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/qaconv-unifiedqa-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/qaconv-unifiedqa-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/qaconv-unifiedqa-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf36b9f70b83aeb313c8cb911892f1878ef933bc23cf95a32a025b64f41dea66
- Size of remote file:
- 892 MB
- SHA256:
- 0bd8f3d17e756acf8a0ad8f891d635b37409c9633bea65901b3ebf5cb16cedf7
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