Instructions to use hf-tiny-model-private/tiny-random-DebertaForQuestionAnswering 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-DebertaForQuestionAnswering 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-DebertaForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DebertaForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-DebertaForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
cf104ac | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:37d5fd498f313714dde4a5da0ef0cc525f2dc4f97fb6072a66d9c76855ccad72
size 361804
|