Instructions to use gmguarino/LFM2-700M-climateguard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gmguarino/LFM2-700M-climateguard with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gmguarino/LFM2-700M-climateguard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gmguarino/LFM2-700M-climateguard: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/gmguarino/LFM2-700M-climateguard/resolve/83cf0d6c03b3ea992a3e733c08dfba99e2d48967/tokenizer.json
- Command line
-
hf download hf://gmguarino/LFM2-700M-climateguard@83cf0d6c03b3ea992a3e733c08dfba99e2d48967/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gmguarino/LFM2-700M-climateguard/resolve/83cf0d6c03b3ea992a3e733c08dfba99e2d48967/tokenizer.json
4.73 MB
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