Instructions to use nvidia/AMPLIFY_120M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/AMPLIFY_120M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nvidia/AMPLIFY_120M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("nvidia/AMPLIFY_120M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload folder using huggingface_hub
Unverified signature531b049
-
Upload folder using huggingface_hub
Verified signature98100a7
-
Upload folder using huggingface_hub
Verified signaturea9292a7
-
Add library name (#1)
Verified signature- Add library name (4358a41bc2e76bec9f9e584884b4b2fbd770b091) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>6ad7930 -
Upload folder using huggingface_hub
Verified signature140ee19
-
Upload folder using huggingface_hub
Verified signature8795250 -
initial commit
Verified signaturec1e3fff