Instructions to use nov3630/RLRetriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nov3630/RLRetriever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nov3630/RLRetriever")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nov3630/RLRetriever") model = AutoModel.from_pretrained("nov3630/RLRetriever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nov3630/RLRetriever: direct link, hf CLI and curl.
- Browser
- Download file 2.14 MB
-
https://huggingface.co/nov3630/RLRetriever/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://nov3630/RLRetriever@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/nov3630/RLRetriever/resolve/refs%2Fpr%2F1/tokenizer.json
2.14 MB
File too large to display, you can check the raw version instead.