Instructions to use AnonymousSub/SQuAD_CLIP_text_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_0") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e85c2814b61616ede4afbee2553e7e52fcda5e9eb6224264de68fe04298b3289
- Size of remote file:
- 496 MB
- SHA256:
- 5e6425087c526e03cfec6589f27ba547068791972149b054da5cbffd7bcefa14
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.