Instructions to use mrm8488/squeezebert-finetuned-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/squeezebert-finetuned-squadv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/squeezebert-finetuned-squadv1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/squeezebert-finetuned-squadv1") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/squeezebert-finetuned-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89158850f92f15b68f239c7cc9420a1dab75c21a6b38012e213758de4dd0c4a1
- Size of remote file:
- 1.78 kB
- SHA256:
- 4e6b486bd3a61ac7bbc0e3e4220c09ca86b69ff07f9e07998756bc630a996b3e
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