Instructions to use secilozksen/dpr_basecamp_contriever_contrastive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use secilozksen/dpr_basecamp_contriever_contrastive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="secilozksen/dpr_basecamp_contriever_contrastive", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("secilozksen/dpr_basecamp_contriever_contrastive", trust_remote_code=True) model = AutoModel.from_pretrained("secilozksen/dpr_basecamp_contriever_contrastive", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from secilozksen/dpr_basecamp_contriever_contrastive: direct link, hf CLI and curl.
- Browser
- Download file 876 MB
-
https://huggingface.co/secilozksen/dpr_basecamp_contriever_contrastive/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://secilozksen/dpr_basecamp_contriever_contrastive/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/secilozksen/dpr_basecamp_contriever_contrastive/resolve/main/pytorch_model.bin
876 MB
- Xet hash:
- a4e18bf28adaae7d10ecfd06eadf5a54a1a18fa4dc7fcc83b08c1753a34c7755
- Size of remote file:
- 876 MB
- SHA256:
- 897bac57a53155773447717329dc4d6e32bcafc9d97f4e24201abf717af54c2c
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