Instructions to use Abdullah22/Finetuned_Question_Answering_Model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abdullah22/Finetuned_Question_Answering_Model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Abdullah22/Finetuned_Question_Answering_Model2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Abdullah22/Finetuned_Question_Answering_Model2") model = AutoModelForQuestionAnswering.from_pretrained("Abdullah22/Finetuned_Question_Answering_Model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
de85bdc | 1 2 3 4 5 6 7 8 | {
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
|