Instructions to use ChatterjeeLab/PepMLM-650M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChatterjeeLab/PepMLM-650M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ChatterjeeLab/PepMLM-650M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ChatterjeeLab/PepMLM-650M") model = AutoModelForMaskedLM.from_pretrained("ChatterjeeLab/PepMLM-650M", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download logo.png from ChatterjeeLab/PepMLM-650M: direct link, hf CLI and curl.
- Browser
- Download file 30.8 kB
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https://huggingface.co/ChatterjeeLab/PepMLM-650M/resolve/main/logo.png
- Command line
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hf download hf://ChatterjeeLab/PepMLM-650M/logo.png
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curl -L -o logo.png https://huggingface.co/ChatterjeeLab/PepMLM-650M/resolve/main/logo.png
30.8 kB
