Sentence Similarity
Transformers
Safetensors
French
camembert
fill-mask
passage-retrieval
Eval Results (legacy)
text-embeddings-inference
Instructions to use antoinelouis/splade-max-camembert-base-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antoinelouis/splade-max-camembert-base-mmarcoFR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("antoinelouis/splade-max-camembert-base-mmarcoFR") model = AutoModelForMaskedLM.from_pretrained("antoinelouis/splade-max-camembert-base-mmarcoFR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57d2beb07207a35b55bc6eedd16cd8c11992d807e423fa5a2fbc8eac5c7abde0
- Size of remote file:
- 811 kB
- SHA256:
- 988bc5a00281c6d210a5d34bd143d0363741a432fefe741bf71e61b1869d4314
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.