Instructions to use srcocotero/tiny-bert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srcocotero/tiny-bert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="srcocotero/tiny-bert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("srcocotero/tiny-bert-qa") model = AutoModelForQuestionAnswering.from_pretrained("srcocotero/tiny-bert-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from srcocotero/tiny-bert-qa: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/srcocotero/tiny-bert-qa/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://srcocotero/tiny-bert-qa@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/srcocotero/tiny-bert-qa/resolve/refs%2Fpr%2F2/tokenizer.json
711 kB
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