Instructions to use AnonymousSub/SQuAD_CLIP_text_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_7")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_7") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 450ae3110a9e4f63a1c097b0fecd729ab4635a7b3dcabc1eaea0acda128182a1
- Size of remote file:
- 496 MB
- SHA256:
- 17c586b4ded9270e33bf1a680fda8b5fe46b6862ba18fbfec483ab136ac1ddc6
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.