How to use LiquidAI/LFM2.5-Encoder-350M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LiquidAI/LFM2.5-Encoder-350M", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2.5-Encoder-350M", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("LiquidAI/LFM2.5-Encoder-350M", trust_remote_code=True, device_map="auto")
https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M/resolve/main/tokenizer.json
hf download hf://LiquidAI/LFM2.5-Encoder-350M/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/LiquidAI/LFM2.5-Encoder-350M/resolve/main/tokenizer.json
