Instructions to use Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod") model = AutoModel.from_pretrained("Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod")
model = AutoModel.from_pretrained("Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Mjollnir1996/dpr-question_encoder-bert-base-multilingual_mod")