Instructions to use Kate-lf/rag-qa-base-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kate-lf/rag-qa-base-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kate-lf/rag-qa-base-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kate-lf/rag-qa-base-bert") model = AutoModelForQuestionAnswering.from_pretrained("Kate-lf/rag-qa-base-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
9a2f9f0 | 1 2 3 4 5 6 7 8 | {
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
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