Instructions to use csarron/mobilebert-uncased-squad-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csarron/mobilebert-uncased-squad-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="csarron/mobilebert-uncased-squad-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("csarron/mobilebert-uncased-squad-v2") model = AutoModelForQuestionAnswering.from_pretrained("csarron/mobilebert-uncased-squad-v2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c4b78050004a5262ec153e28bdc767987c569d7e33afa159938b02dc26afac4
- Size of remote file:
- 98.6 MB
- SHA256:
- 226fbd74da60509880994c22d927f06f4e620f674fdf436211ad6902f01de7fb
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