Instructions to use deepset/tinyroberta-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/tinyroberta-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/tinyroberta-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/tinyroberta-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/tinyroberta-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
VORTEXRAG: 7-Layer RAG — Causal Drift Filtering + Context Poison Guard [paper + code + demo]
#8 opened 2 days ago
by
vigneshwar234
VORTEXRAG: 7-Layer RAG — Causal Drift Filtering + Context Poison Guard [paper + code + demo]
#7 opened 2 days ago
by
vigneshwar234
TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture
#6 opened 2 days ago
by
vigneshwar234
Unable to load model offline
1
#2 opened almost 4 years ago
by
hashb