Instructions to use AgentPublic/dpr-question_encoder-fr_qa-camembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AgentPublic/dpr-question_encoder-fr_qa-camembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AgentPublic/dpr-question_encoder-fr_qa-camembert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AgentPublic/dpr-question_encoder-fr_qa-camembert") model = AutoModel.from_pretrained("AgentPublic/dpr-question_encoder-fr_qa-camembert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
6249836 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dc1ae262d689f595cc7d622961e32a1eda6dc4a02d7edee83a385917a4fb611d
size 442838427
|