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