Instructions to use SebastianKotstein/restberta-qa-value-parameter-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianKotstein/restberta-qa-value-parameter-matching with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SebastianKotstein/restberta-qa-value-parameter-matching")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SebastianKotstein/restberta-qa-value-parameter-matching") model = AutoModelForQuestionAnswering.from_pretrained("SebastianKotstein/restberta-qa-value-parameter-matching", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3eac893 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fa040268781a12bd87da5be32a9c5e59123865721e79678a33db343e5137a608
size 496513256
|