Text Classification
Transformers
PyTorch
roberta
question_answering
qa
answer_consolidation
text-embeddings-inference
Instructions to use Salesforce/qa_consolidation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/qa_consolidation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Salesforce/qa_consolidation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Salesforce/qa_consolidation") model = AutoModelForSequenceClassification.from_pretrained("Salesforce/qa_consolidation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6205554cb134eced5d939ee857627fd26160f7a0221833bcdfb81823ec12ab15
- Size of remote file:
- 1.42 GB
- SHA256:
- bba8b2da98829db3b472e5aa4997dc34da078f2d807a0b5a65175d96d8141240
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