Instructions to use mfeb/albert-xxlarge-v2-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mfeb/albert-xxlarge-v2-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mfeb/albert-xxlarge-v2-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mfeb/albert-xxlarge-v2-squad2") model = AutoModelForQuestionAnswering.from_pretrained("mfeb/albert-xxlarge-v2-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f5715ee861caa023462dbbc3b5d97b086c5b4313014dc3a3779c0d9ab5513c0
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size 1602
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