Instructions to use hf-internal-testing/tiny-random-DistilBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DistilBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-DistilBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DistilBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-DistilBertForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
812406b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8c187a62c6589da6f03e6685eac1c331056430e72eee0303d5414b1a7f87282e
size 455584
|