Instructions to use raphaelsty/neural-cherche-sparse-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/neural-cherche-sparse-embed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/neural-cherche-sparse-embed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/neural-cherche-sparse-embed") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/neural-cherche-sparse-embed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 90 Bytes
ad7ebb6 | 1 2 3 4 5 6 | {
"_from_model_config": true,
"pad_token_id": 0,
"transformers_version": "4.35.2"
}
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