Instructions to use AnonymousSub/SQuAD_CLIP_text_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_2") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98782f7a94c9fb9f763750e3b635b25076c739d9914c0ea81bd345100f8e084c
- Size of remote file:
- 496 MB
- SHA256:
- b6b3344d28c0aa73e2642bd5ea143912d2efbce29abb172f9f2a9de728dcec5f
路
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