Instructions to use saburbutt/xlnet_large_tweetqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saburbutt/xlnet_large_tweetqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="saburbutt/xlnet_large_tweetqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saburbutt/xlnet_large_tweetqa") model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/xlnet_large_tweetqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "remove_space": true, "keep_accents": false, "bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": "<mask>", "additional_special_tokens": ["<eop>", "<eod>"], "name_or_path": "xlnet-large-cased"} |