Instructions to use ChatterjeeLab/FusOn-pLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChatterjeeLab/FusOn-pLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ChatterjeeLab/FusOn-pLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ChatterjeeLab/FusOn-pLM") model = AutoModelForMaskedLM.from_pretrained("ChatterjeeLab/FusOn-pLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download fuson_plm/data/fuson_db.csv from ChatterjeeLab/FusOn-pLM: direct link, hf CLI and curl.
- Browser
- Download file 37.1 MB
-
https://huggingface.co/ChatterjeeLab/FusOn-pLM/resolve/refs%2Fpr%2F1/fuson_plm/data/fuson_db.csv
- Command line
-
hf download hf://ChatterjeeLab/FusOn-pLM@refs/pr/1/fuson_plm/data/fuson_db.csv
-
curl -L -o fuson_db.csv https://huggingface.co/ChatterjeeLab/FusOn-pLM/resolve/refs%2Fpr%2F1/fuson_plm/data/fuson_db.csv
37.1 MB
- Xet hash:
- 913504758c84464a373b65236356fefdffc97a6506a9ee6ff9ded03eda9486fd
- Size of remote file:
- 37.1 MB
- SHA256:
- c5c841ff582a45ba2427ed504d965ba01ab49e6cb2f3dacf2e4e3cbedad255d3
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