Instructions to use shed-e/MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shed-e/MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shed-e/MLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shed-e/MLM") model = AutoModelForMaskedLM.from_pretrained("shed-e/MLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from shed-e/MLM: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/shed-e/MLM/resolve/main/.gitignore
- Command line
-
hf download hf://shed-e/MLM/.gitignore
-
curl -L -o .gitignore https://huggingface.co/shed-e/MLM/resolve/main/.gitignore
13 Bytes
| checkpoint-*/ |