Instructions to use lqbin/videberta-xsmall_batch24_epoch30v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lqbin/videberta-xsmall_batch24_epoch30v6 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="lqbin/videberta-xsmall_batch24_epoch30v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("lqbin/videberta-xsmall_batch24_epoch30v6") model = AutoModelForQuestionAnswering.from_pretrained("lqbin/videberta-xsmall_batch24_epoch30v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K