Instructions to use lauraparra28/Albert-base-v2-finetuned-SQuAD2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lauraparra28/Albert-base-v2-finetuned-SQuAD2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="lauraparra28/Albert-base-v2-finetuned-SQuAD2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("lauraparra28/Albert-base-v2-finetuned-SQuAD2.0") model = AutoModelForQuestionAnswering.from_pretrained("lauraparra28/Albert-base-v2-finetuned-SQuAD2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1b478f88b84e6010df818045388c6d0c32ac5ab8678496752b9f3ea1d70af6a
- Size of remote file:
- 4.02 kB
- SHA256:
- 8bf0e7006b1b37f2ae7d5d5bf48c64ff67af336baab51bdaa07f99f9acd414d1
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