Instructions to use SebastianKotstein/restberta-qa-endpoint-discovery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianKotstein/restberta-qa-endpoint-discovery 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="SebastianKotstein/restberta-qa-endpoint-discovery")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SebastianKotstein/restberta-qa-endpoint-discovery") model = AutoModelForQuestionAnswering.from_pretrained("SebastianKotstein/restberta-qa-endpoint-discovery", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureda777b1
-
Update README.md
Verified signatureaeafc38 -
Update README.md
Verified signature8ced9a6
-
Update README.md
Verified signature9fbcc5d -
Update README.md
Verified signature79c8ae6 -
Update README.md
Verified signaturec04930c -
Update README.md
Verified signature510e321 -
Upload TF model
Verified signature8e62720 -
Upload 5 files
Verified signature3de98d7 -
initial commit
Verified signatureb3b0c0c