Instructions to use facebook/npm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/npm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/npm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/npm") model = AutoModelForMaskedLM.from_pretrained("facebook/npm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adbf020542558f969681e440fcb308d69e02af7216c2a16fa79ce5282a2cd6ac
- Size of remote file:
- 1.42 GB
- SHA256:
- 1d935c2deced848e084bb4adc4a3c7247e382e9cafe9f6ff7455f289153afcea
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