Instructions to use intanm/mbert-webis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intanm/mbert-webis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="intanm/mbert-webis")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("intanm/mbert-webis") model = AutoModelForQuestionAnswering.from_pretrained("intanm/mbert-webis") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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