Instructions to use Matthijs0/DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs0/DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Matthijs0/DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Matthijs0/DistilBERT") model = AutoModelForQuestionAnswering.from_pretrained("Matthijs0/DistilBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d257a484ee6ada71104d284c0a2222e4d5bc77d00e518e34f312b7bd8f4e3ea3
- Size of remote file:
- 4.92 kB
- SHA256:
- b2c2a6cc08e675d0504d2c15a6889fe189930e0ce4ed54946bf8107abd5ab71b
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