Instructions to use AnonymousSub/SQuAD_CLIP_text_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_3")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_3") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e3bd3e41a1c5d6eadefdecf03a3835e2eacaa8483cb1664668c1f15fabf46e5
- Size of remote file:
- 496 MB
- SHA256:
- ec6f3aeeee8f28ce465fa6f92e5e766e1c06cb939541e3618e08706b0b784291
路
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