Instructions to use RESMP-DEV/LFM2.5-Encoder-350M-MLX-FP32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RESMP-DEV/LFM2.5-Encoder-350M-MLX-FP32 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download RESMP-DEV/LFM2.5-Encoder-350M-MLX-FP32 --local-dir LFM2.5-Encoder-350M-MLX-FP32
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download special_tokens_map.json from RESMP-DEV/LFM2.5-Encoder-350M-MLX-FP32: direct link, hf CLI and curl.
- Browser
- Download file 120 Bytes
-
https://huggingface.co/RESMP-DEV/LFM2.5-Encoder-350M-MLX-FP32/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://RESMP-DEV/LFM2.5-Encoder-350M-MLX-FP32/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/RESMP-DEV/LFM2.5-Encoder-350M-MLX-FP32/resolve/main/special_tokens_map.json
120 Bytes
| { | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|im_end|>", | |
| "mask_token": "<|mask|>", | |
| "pad_token": "<|pad|>" | |
| } | |