Instructions to use vasudevgupta/bigbird-roberta-natural-questions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/bigbird-roberta-natural-questions 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="vasudevgupta/bigbird-roberta-natural-questions")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/bigbird-roberta-natural-questions") model = AutoModelForQuestionAnswering.from_pretrained("vasudevgupta/bigbird-roberta-natural-questions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture
#4 opened 4 months ago
by
vigneshwar234
Adding `safetensors` variant of this model
#3 opened over 3 years ago
by
SFconvertbot
🚩 Report : Ethical issue(s)
#2 opened over 3 years ago
by
Prosenjit