Instructions to use AnonymousSub/SQuAD_CLIP_text_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_8")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_8") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c55af335c4c4c9f1ce0ae6d5ce0d047ec8f5425d952c8092c5ec769369aa53d
- Size of remote file:
- 496 MB
- SHA256:
- 42b5590865697ca9fa8223a7429af34dfae25209657a0c8e3394eb6678ab6a39
路
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