Text Classification
Transformers
Safetensors
English
modernbert
lean
lean4
theorem-proving
formal-verification
encoder
text-embeddings-inference
Instructions to use EPFL-LARA/lean-encoder-modernbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EPFL-LARA/lean-encoder-modernbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EPFL-LARA/lean-encoder-modernbert-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EPFL-LARA/lean-encoder-modernbert-large") model = AutoModelForSequenceClassification.from_pretrained("EPFL-LARA/lean-encoder-modernbert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EPFL-LARA/lean-encoder-modernbert-large: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/EPFL-LARA/lean-encoder-modernbert-large/resolve/main/training_args.bin
- Command line
-
hf download hf://EPFL-LARA/lean-encoder-modernbert-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EPFL-LARA/lean-encoder-modernbert-large/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- 4249f8af748dfe9f8ca9aecad601052c082a6f021db6020948bd1a947dc5700d
- Size of remote file:
- 6.03 kB
- SHA256:
- 600901b0b8508ec980ea1b9dc9d0f4c76ee7cd1dc966367e51717dff5439fb50
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