Instructions to use tau/splinter-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tau/splinter-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tau/splinter-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tau/splinter-base") model = AutoModelForQuestionAnswering.from_pretrained("tau/splinter-base") - Notebooks
- Google Colab
- Kaggle
TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture
#2 opened 6 days ago
by
vigneshwar234
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot