Instructions to use AnonymousSub/SQuAD_CLIP_text_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_5")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_5") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85d0a6fe764958046e30a7f2fc4a7ebd0cf305ad34df844eadc55f60dee5d1dd
- Size of remote file:
- 496 MB
- SHA256:
- efa132c59975487ff82cc8b31ed618860607efa53ac2ead2ceacc521020ed636
路
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