Instructions to use hf-internal-testing/tiny-random-ConvBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ConvBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ConvBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ConvBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
314e015 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8712d34712fad4b71aca18481217268cf401e7cbf82f715d646dd0ab68468fdb
size 5335972
|