Instructions to use AnonymousSub/SQuAD_CLIP_text_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_4")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_4") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02322a9b27c7d73a3dc380904d79a8710d6ab2b6f80748ff6b6e954b9bed05f1
- Size of remote file:
- 496 MB
- SHA256:
- f8e812d1f3aaa493f263ffd553a501fda5f59114c9d1257adde4f2a494206fdb
路
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