How to use LiquidAI/LFM2.5-Encoder-350M-Prompt-Router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LiquidAI/LFM2.5-Encoder-350M-Prompt-Router", trust_remote_code=True)
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-Prompt-Router", trust_remote_code=True) model = AutoModel.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-Prompt-Router", trust_remote_code=True, device_map="auto")
https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M-Prompt-Router/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://LiquidAI/LFM2.5-Encoder-350M-Prompt-Router@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M-Prompt-Router/resolve/refs%2Fpr%2F1/tokenizer.json
