Instructions to use joaojanini/splade_sparse_vector_pinecone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaojanini/splade_sparse_vector_pinecone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joaojanini/splade_sparse_vector_pinecone")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joaojanini/splade_sparse_vector_pinecone") model = AutoModelForMaskedLM.from_pretrained("joaojanini/splade_sparse_vector_pinecone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from joaojanini/splade_sparse_vector_pinecone: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/joaojanini/splade_sparse_vector_pinecone/resolve/main/tokenizer.json
- Command line
-
hf download hf://joaojanini/splade_sparse_vector_pinecone/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/joaojanini/splade_sparse_vector_pinecone/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.