Instructions to use hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
4f6df96 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fdfe741c6e1e783d837b85698355f5540cd48be8eeac0cf2e27d54ad158c28e8
size 369343
|