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:
- 918f6512fc8debf549f8b2c05c1fadf9a7a8448c7962201d5d0e16f5eb39f4a7
- Size of remote file:
- 44.4 MB
- SHA256:
- 844cec3350f326436c6079d28f2639288799971213926594f68aedb1660ec164
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