Instructions to use krinal214/bert-3lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-3lang with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-3lang")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-3lang") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-3lang") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caa83494f63b2484d11e707bbd47fde396dcd6103159d55b6095674bab5662b9
- Size of remote file:
- 709 MB
- SHA256:
- 40a91a4da2c4b88aeceb499314fe6f19f8158718956e15d54e49480b97865ba2
路
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