Instructions to use RyanHaniff/concordia_trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyanHaniff/concordia_trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="RyanHaniff/concordia_trained_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("RyanHaniff/concordia_trained_model") model = AutoModelForTableQuestionAnswering.from_pretrained("RyanHaniff/concordia_trained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from RyanHaniff/concordia_trained_model: direct link, hf CLI and curl.
- Browser
- Download file 859 Bytes
-
https://huggingface.co/RyanHaniff/concordia_trained_model/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://RyanHaniff/concordia_trained_model/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/RyanHaniff/concordia_trained_model/resolve/main/tokenizer_config.json
859 Bytes
| { | |
| "additional_special_tokens": [ | |
| "[EMPTY]" | |
| ], | |
| "cell_trim_length": -1, | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "drop_rows_to_fit": false, | |
| "empty_token": "[EMPTY]", | |
| "mask_token": "[MASK]", | |
| "max_column_id": null, | |
| "max_question_length": null, | |
| "max_row_id": null, | |
| "min_question_length": null, | |
| "model_max_length": 512, | |
| "name_or_path": "google/tapas-base", | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "special_tokens_map_file": "C:\\Users\\rhani/.cache\\huggingface\\hub\\models--google--tapas-base\\snapshots\\00456266840bb0a319cd6748ebf7da3caf98816b\\special_tokens_map.json", | |
| "strip_accents": null, | |
| "strip_column_names": false, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "TapasTokenizer", | |
| "unk_token": "[UNK]", | |
| "update_answer_coordinates": false | |
| } | |