Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use lemon-mint/LLM-Router-Test-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lemon-mint/LLM-Router-Test-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lemon-mint/LLM-Router-Test-01")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lemon-mint/LLM-Router-Test-01") model = AutoModelForSequenceClassification.from_pretrained("lemon-mint/LLM-Router-Test-01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lemon-mint/LLM-Router-Test-01: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/lemon-mint/LLM-Router-Test-01/resolve/e8e62080083c93bb53690931d4ae356c59ac8a2c/tokenizer.json
- Command line
-
hf download hf://lemon-mint/LLM-Router-Test-01@e8e62080083c93bb53690931d4ae356c59ac8a2c/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lemon-mint/LLM-Router-Test-01/resolve/e8e62080083c93bb53690931d4ae356c59ac8a2c/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.