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:
- 533197e54a47fd8a0b1411abcd4292326173ffade75b8cdb2aa276fe376d51b4
- Size of remote file:
- 204 MB
- SHA256:
- d085703ddb22a59e2b4f385968010b09721cce691e0f06b6490078f8acea581b
路
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