Text Classification
Transformers
Safetensors
modernbert
routing
llm-routing
prompt-classification
multilingual
text-embeddings-inference
Instructions to use scombat/s1d1-router-6src-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scombat/s1d1-router-6src-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scombat/s1d1-router-6src-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scombat/s1d1-router-6src-tiny") model = AutoModelForSequenceClassification.from_pretrained("scombat/s1d1-router-6src-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from scombat/s1d1-router-6src-tiny: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/scombat/s1d1-router-6src-tiny/resolve/main/tokenizer.json
- Command line
-
hf download hf://scombat/s1d1-router-6src-tiny/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/scombat/s1d1-router-6src-tiny/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 223c74cc1acb8e578017b74339569137d1d7384a7cbb2500da8d26ded3be203d
- Size of remote file:
- 34.4 MB
- SHA256:
- aebee76d0312011b0d73b08a255d4d11d25c83e9639324870c7b916ea102e13e
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