Instructions to use krinal214/bert-all-translated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-all-translated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-all-translated")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-all-translated") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-all-translated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fcee5a889bf59362c00f4531a99a6a9bb52fc981d28d11db3acf983b70c80d7
- Size of remote file:
- 3.12 kB
- SHA256:
- 4bf932a625aa61f535eef0405576dafe174a0d8c51bf63c5dab16a099af6791d
路
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