Instructions to use manishiitg/distilbert-squad-256seq-8batch-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manishiitg/distilbert-squad-256seq-8batch-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="manishiitg/distilbert-squad-256seq-8batch-test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("manishiitg/distilbert-squad-256seq-8batch-test") model = AutoModelForQuestionAnswering.from_pretrained("manishiitg/distilbert-squad-256seq-8batch-test") - Notebooks
- Google Colab
- Kaggle
Update null_odds_.json
Browse files- null_odds_.json +0 -0
null_odds_.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|