Instructions to use AnonymousSub/consert-techqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/consert-techqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/consert-techqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/consert-techqa") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/consert-techqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8195ea3f7d0840307fcd9300f9be98c4eba2d940e7edd588288225fbf21e4d0b
- Size of remote file:
- 436 MB
- SHA256:
- 5b1d6622d0b4aa2d0e158b4d24fb79c2334dc884fc1ed34bfad9dae19fd5e775
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