Instructions to use badokorach/mobilebert-uncased-squad-v2-16-11-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badokorach/mobilebert-uncased-squad-v2-16-11-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="badokorach/mobilebert-uncased-squad-v2-16-11-2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badokorach/mobilebert-uncased-squad-v2-16-11-2") model = AutoModelForQuestionAnswering.from_pretrained("badokorach/mobilebert-uncased-squad-v2-16-11-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0231c511f7da27743f148eac39fc4c018e18b0b6c844af758420a01b3e5fca8c
- Size of remote file:
- 98.5 MB
- SHA256:
- 5b75c910fa2198b88a9d5973e1192c4b42d7944ef313aba5035ca75c53f28142
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.