Instructions to use Salesforce/qaconv-unifiedqa-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/qaconv-unifiedqa-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/qaconv-unifiedqa-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/qaconv-unifiedqa-t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39597b51db9e64ba76b6e4babaf97270409f44ba25e708b6e9ea1571eff3ee9e
- Size of remote file:
- 2.95 GB
- SHA256:
- e42363e0cec3574520d4026808e34eeb87bea7bcc8498cc5c37a6d10650c4dc5
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