Instructions to use ydshieh/tiny-random-DebertaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-DebertaForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ydshieh/tiny-random-DebertaForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-DebertaForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("ydshieh/tiny-random-DebertaForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
SFconvertbot
Update tiny models for DebertaForQuestionAnswering
#5 opened almost 4 years ago
by
ydshieh
Update tiny models for DebertaForQuestionAnswering
#4 opened almost 4 years ago
by
ydshieh
Update tiny models for DebertaForQuestionAnswering
#3 opened almost 4 years ago
by
ydshieh
Update tiny models for DebertaForQuestionAnswering
#2 opened about 4 years ago
by
ydshieh
Update tiny models for DebertaForQuestionAnswering
#1 opened about 4 years ago
by
ydshieh