Instructions to use hf-internal-testing/tiny-random-XLMForQuestionAnsweringSimple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XLMForQuestionAnsweringSimple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-XLMForQuestionAnsweringSimple")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XLMForQuestionAnsweringSimple") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-XLMForQuestionAnsweringSimple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
82e93a2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:117974972f745b06b1ddbe0f839168671fc08bacc08e90ec2d43454ab196c02a
size 4210169
|