Instructions to use igandarillas/supcon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igandarillas/supcon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="igandarillas/supcon")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("igandarillas/supcon") model = AutoModelForMaskedLM.from_pretrained("igandarillas/supcon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from igandarillas/supcon: direct link, hf CLI and curl.
- Browser
- Download file 26.7 kB
-
https://huggingface.co/igandarillas/supcon/resolve/main/optimizer.pt
- Command line
-
hf download hf://igandarillas/supcon/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/igandarillas/supcon/resolve/main/optimizer.pt
26.7 kB
- Xet hash:
- 0683462d5e28d8eb92f16a4efbfd3d5e8dcd55662b47eac8b24e1c3ac392c1b3
- Size of remote file:
- 26.7 kB
- SHA256:
- f14ff405d771a19d42c65e8960e32fae16533f3ac701ce86509191d6acf6eca1
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