Instructions to use google/tapas-mini-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-mini-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-mini-finetuned-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-mini-finetuned-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-mini-finetuned-sqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from google/tapas-mini-finetuned-sqa: direct link, hf CLI and curl.
- Browser
- Download file 154 Bytes
-
https://huggingface.co/google/tapas-mini-finetuned-sqa/resolve/no_reset/special_tokens_map.json
- Command line
-
hf download hf://google/tapas-mini-finetuned-sqa@no_reset/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/google/tapas-mini-finetuned-sqa/resolve/no_reset/special_tokens_map.json
154 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "additional_special_tokens": ["[EMPTY]"]} |