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:
- 17e72bb6dcd5abd666bd7c35f0470feaa59d6b320658950e2145f990c8cfdd27
- Size of remote file:
- 3.06 kB
- SHA256:
- 5596ba5a8049ecf78ee41590bbeeb953fa20bd643ca160d53e51e552fdd5c4da
路
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