Instructions to use krinal214/bert-all-squad_all_translated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-all-squad_all_translated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-all-squad_all_translated")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-all-squad_all_translated") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-all-squad_all_translated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce17d7b138cf18bdd6806c366bc9028b4afc740e7a9eee358e5f1085bb0e0755
- Size of remote file:
- 709 MB
- SHA256:
- e1d7ea25274755411e43495c133efd9a00eb1477269c63ced0d9ff69b79d337e
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.