Fill-Mask
Transformers
Safetensors
Luxembourgish
modernbert
encoder
luxembourgish
multilingual
masked-language-modeling
Instructions to use instilux/ltz-e1-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use instilux/ltz-e1-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="instilux/ltz-e1-mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("instilux/ltz-e1-mini") model = AutoModelForMaskedLM.from_pretrained("instilux/ltz-e1-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from instilux/ltz-e1-mini: direct link, hf CLI and curl.
- Browser
- Download file 274 MB
-
https://huggingface.co/instilux/ltz-e1-mini/resolve/main/model.safetensors
- Command line
-
hf download hf://instilux/ltz-e1-mini/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/instilux/ltz-e1-mini/resolve/main/model.safetensors
274 MB
- Xet hash:
- 797285b42a601caff11b0bc372d62fd4ae680cc8379a7a6a9f8633580c94a266
- Size of remote file:
- 274 MB
- SHA256:
- 379a04a6797f75a63278bd3c7f179d9063713f1aeaa3e0a926c41eaec9b9122d
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