Instructions to use firqaaa/indo-dpr-question_encoder-multiset-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use firqaaa/indo-dpr-question_encoder-multiset-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="firqaaa/indo-dpr-question_encoder-multiset-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("firqaaa/indo-dpr-question_encoder-multiset-base") model = AutoModel.from_pretrained("firqaaa/indo-dpr-question_encoder-multiset-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -45,7 +45,7 @@ from transformers import DPRQuestionEncoder, DPRQuestionEncoderTokenizer
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tokenizer = DPRQuestionEncoderTokenizer.from_pretrained('firqaaa/indo-dpr-question_encoder-multiset-base')
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model = DPRQuestionEncoder.from_pretrained('firqaaa/indo-dpr-question_encoder-multiset-base')
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input_ids = tokenizer("Siapa nama pengarang manga
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embeddings = model(input_ids).pooler_output
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```
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tokenizer = DPRQuestionEncoderTokenizer.from_pretrained('firqaaa/indo-dpr-question_encoder-multiset-base')
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model = DPRQuestionEncoder.from_pretrained('firqaaa/indo-dpr-question_encoder-multiset-base')
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input_ids = tokenizer("Siapa nama pengarang manga YuGiOh?", return_tensors='pt')["input_ids"]
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embeddings = model(input_ids).pooler_output
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```
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