Instructions to use JiZha/text2sql_schema_item_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JiZha/text2sql_schema_item_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JiZha/text2sql_schema_item_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JiZha/text2sql_schema_item_classifier") model = AutoModelForMaskedLM.from_pretrained("JiZha/text2sql_schema_item_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "add_prefix_space": true, "trim_offsets": true, "special_tokens_map_file": null, "name_or_path": "./plm_files/roberta_files/roberta_large", "tokenizer_class": "RobertaTokenizer"} |